Commissioned Research
Top 10 Best Cattle Tracking Software of 2026

GITNUXSOFTWARE REVIEW

Agriculture Farming

Top 10 Best Cattle Tracking Software of 2026

Top 10 cattle tracking software options compared for ranch, feedlot, and dairy teams, with tradeoffs for selecting cattle tracking software that fits needs.

20 min readUpdated Editorially scoped research
How we ranked these tools
01Editorial Scope

Vendors set the topic, but our editors set the inclusion criteria and the evaluation framework before research starts.

02Source Research

Agents extract product evidence with provenance, then collect written reviews and transcribe video reviews and podcasts.

Read our full methodology →

Framework: Features 40% · Ease 30% · Value 30%

Gitnux may earn a commission through links on this page. This does not influence our reviews. Editorial policy

Cattle tracking software matters when herd records must stay consistent across breeding, health events, weights, and movement logs. This comparison helps livestock teams weigh automation and data capture approaches, from sensor and camera inputs to manual workflows, against integration fit with existing farm systems and access controls such as RBAC and audit logs.

Vytelle is the best fit for livestock teams that need end-to-end herd event tracking because its event-triggered workflows link identification reads to drafting and performance capture with role separation, whereas CattleMax suits SMB breeders who want RFID-driven, configurable yard-capture forms that build clear movement history.

Editor’s top 3 picks

Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.

Editor pick
1

Vytelle

Event-triggered workflows that connect identification reads to drafting and performance capture steps.

Best for: Fits when livestock teams need end-to-end herd event tracking with device-linked workflows and operator role separation.

2

CattleMax

Editor pick

Configurable yard-capture forms that update animal records from tag reads during move and handling events.

Best for: Fits when cattle teams need RFID-based tracking with clear movement history and configurable yard data capture.

3

Afimilk

Editor pick

AfiAct and AfiLab combine cow activity, rumination, and milk-component signals inside AfiFarm’s herd decision workflow.

Best for: Fits when dairy teams need cow-level monitoring connected to milking, health, reproduction, and sorting workflows.

Comparison Table

1
VytelleBest overall
enterprise
9.5/10
Overall
2
8.7/10
Overall
3
enterprise
8.6/10
Overall
4
8.5/10
Overall
5
enterprise
8.2/10
Overall
6
7.7/10
Overall
7
7.6/10
Overall
8
7.2/10
Overall
9
6.9/10
Overall
10
enterprise
6.5/10
Overall
#1

Vytelle

enterprise

Beef cattle platform combining nutritional products with automated data collection systems.

9.5/10
Overall
Features9.5/10
Ease of Use9.5/10
Value9.5/10
Standout feature

Event-triggered workflows that connect identification reads to drafting and performance capture steps.

Vytelle records cattle events from yard-side scanning into a herd history that links movement, performance, and breeding workflows in one timeline. It supports RFID and EID reader-driven identification workflows, then attaches those reads to downstream modules like weighing, drafting, and breeding records.

Admin controls focus on structured roles for operators who capture events versus staff who reconcile reports and exports. Automation centers on event-triggered workflows that reduce manual re-entry across multi-step management tasks.

Pros
  • +Event timeline links identification reads to downstream performance and breeding records
  • +EID and RFID capture workflows support multi-reader yard operations
  • +Workflow automation reduces manual re-entry across repeated management steps
  • +Role-based operator versus reconciler separation helps reduce data handling mistakes
Cons
  • –Strong workflow coverage depends on mapping yard devices to the expected read events
  • –Deep module configuration can slow onboarding for small cattle teams
  • –Offline capture behavior requires careful field setup to avoid data gaps
  • –Integration paths for external lab or reporting formats can add build work
Use scenarios
  • Seedstock breeders

    Link RFID reads to breeding timelines

    Breeding and performance align

  • Beef producers

    Maintain performance records by herd event

    More consistent performance history

Show 1 more scenario
  • Ranch operations managers

    Reduce re-entry across multi-step workflows

    Less manual data re-entry

    Use event-triggered workflows to populate herd history during routine management tasks.

Best for: Fits when livestock teams need end-to-end herd event tracking with device-linked workflows and operator role separation.

#2

CattleMax

SMB

Cloud-based record keeping software for cattle breeders to manage pedigrees and herd performance.

8.7/10
Overall
Features8.7/10
Ease of Use8.7/10
Value8.7/10
Standout feature

Configurable yard-capture forms that update animal records from tag reads during move and handling events.

CattleMax focuses on RFID-centered cattle tracking tied to real farm workflows, with support for yard moves, inventory history, and event logging. The system’s core strengths are record linkage between tag reads and animal profiles, plus operational reports built around herd movements and handling outcomes.

Automation features concentrate on configurable forms and rule-driven updates that reduce manual entry during daily handling. Admin controls are oriented around keeping tag and animal records consistent across sites, with exportable records for downstream reporting needs.

Pros
  • +RFID-to-animal record matching supports fast entry during yard handling
  • +Event history provides traceability for movements and handling outcomes
  • +Configurable capture screens reduce repetitive data entry on mobile yard use
  • +Exportable reports support farm team reporting without extra tooling
Cons
  • –EID-specific integrations are limited compared with readers and panels in this category
  • –Offline sync needs clear operational discipline to prevent missed reads
  • –Advanced schema customization is not a documented strength for complex program data
  • –Cross-system reconciliation workflows require manual steps in common scenarios
Use scenarios
  • Seedstock producers

    Track genealogy with breeding event records

    More connected breeding records

  • Beef performance managers

    Record weights and gain checkpoints

    Trackable performance trends

Show 2 more scenarios
  • Feedlot yard managers

    Capture receiving and lot movement history

    Shipment and lot history

    Record receiving, processing, treatments, pen activity, and movements tied to lots for closeout review.

  • Multi-ranch overseers

    Consolidate herd moves across sites

    Broader view across sites

    Bring animal and herd event records together so status and dates can be reviewed across ranch locations.

Best for: Fits when cattle teams need RFID-based tracking with clear movement history and configurable yard data capture.

#3

Afimilk

enterprise

Dairy herd management software integrating milk meters and cow activity monitors for health alerts.

8.6/10
Overall
Features8.6/10
Ease of Use8.6/10
Value8.6/10
Standout feature

AfiAct and AfiLab combine cow activity, rumination, and milk-component signals inside AfiFarm’s herd decision workflow.

AfiFarm maintains cow histories across production, reproduction, health events, treatments, and management tasks. AfiAct combines activity and rumination readings with herd records to identify behavioral changes. AfiLab analyzes milk components and supports investigations into abnormal milk quality or udder health.

The integrated hardware model creates a clear operating advantage for sensor-equipped dairy farms, but it increases installation and maintenance demands. Pasture-only beef operations may find the dairy-centered workflows less applicable. A large milking herd can use Afimilk to connect parlor data, health alerts, breeding work, and sorting decisions in one operating process.

Pros
  • +Connects activity, rumination, milk, and reproduction records at cow level.
  • +Pairs AfiFarm with AfiAct, AfiLab, and AfiSort workflows.
  • +Generates health and fertility alerts from sensor trends.
  • +Supports parlor, feeding, and sorting decisions from shared herd records.
Cons
  • –Sensor coverage and alert quality depend on correct installation and routine maintenance.
  • –Dairy-first workflows offer less depth for pasture-only beef operations.
  • –Advanced monitoring requires Afimilk hardware beyond the core herd database.
Use scenarios
  • Dairy herd managers

    Cow-level health monitoring

    Earlier health checks

  • Parlor operators

    Milk-quality oversight

    Faster quality investigations

Show 1 more scenario
  • Reproduction teams

    Estrus and fertility management

    More focused breeding rounds

    Activity patterns and breeding records help staff prioritize insemination checks and follow-up examinations.

Best for: Fits when dairy teams need cow-level monitoring connected to milking, health, reproduction, and sorting workflows.

#4

Livestocked

SMB

Cloud-based livestock management application for tracking breeding and health records.

8.5/10
Overall
Features8.5/10
Ease of Use8.5/10
Value8.5/10
Standout feature

Linked herd, paddock, movement, treatment, and task records in one operational history.

Livestocked combines herd records with paddock allocation, grazing plans, stock movements, treatments, weights, and task management. Staff can enter updates from field workflows, while managers can review current stock positions and outstanding work. That structure provides more operational context than a register focused only on tags and compliance.

Pros
  • +Links herd records, paddocks, movements, treatments, and tasks
  • +Supports field updates through web and mobile workflows
  • +Provides operational context beyond basic livestock counts
Cons
  • –Historical data setup can take time before reports become useful
  • –Advanced reader hardware workflows are not the central focus
  • –Specialist analytics may require complementary systems
Use scenarios
  • Mixed livestock farms

    Paddock and herd coordination

    Shared operational record

  • Farm managers

    Grazing plan oversight

    More controlled rotations

Show 1 more scenario
  • Field staff

    Mobile event capture

    Fewer delayed updates

    Workers record treatments, movements, and observations during field work for later manager review.

Best for: Fits when mixed livestock farms need linked animal records, paddock plans, movements, and field tasks.

#5

CattleEye

enterprise

Computer vision software analyzing farm camera feeds to monitor cattle health and lameness.

8.2/10
Overall
Features8.2/10
Ease of Use8.2/10
Value8.2/10
Standout feature

Automated 3D camera scoring at the milking-parlour exit for individual cow mobility and body condition.

Dairy teams with a regular milking route get the clearest fit from CattleEye. Cameras capture cows as they leave the parlour, associate observations with individual animals, and present mobility and condition changes for follow-up. Repeated measurements support earlier investigation than occasional pen-side scoring.

Pros
  • +Automated 3D observation reduces dependence on manual scoring rounds.
  • +Individual-cow histories support targeted follow-up.
  • +Mobility alerts fit routine milking traffic.
  • +Web reporting makes repeated observations available beyond the parlour.
Cons
  • –Fixed camera placement limits coverage outside monitored traffic routes.
  • –Open-pasture beef operations have fewer suitable capture points.
  • –Installation requires a consistent camera view and reliable cow identification.
Use scenarios
  • Dairy herd managers

    Routine exit monitoring

    Earlier targeted checks

  • Dairy veterinarians

    Lameness follow-up

    Focused clinical workload

Show 1 more scenario
  • Herd consultants

    Herd trend reviews

    Evidence-based herd reviews

    Consultants review group patterns to identify management periods linked with worsening movement or condition.

Best for: Fits when dairy teams need automated cow monitoring during regular milking traffic.

#6

Moocall

SMB

Non-invasive calving sensor attaching to the tail to alert farmers via SMS before calving begins.

7.7/10
Overall
Features7.7/10
Ease of Use7.7/10
Value7.7/10
Standout feature

Operational yard workflows keep movement and management events organized around repeatable handling batches.

Moocall is a cattle tracking system for teams that need day-to-day animal records tied to handling workflows rather than just reporting. It focuses on capturing movement and management events through a mobile yard workflow, then keeping those records consistent across farms.

Pros
  • +Mobile-first yard event capture supports fast handling workflows
  • +Event history stays tied to animal and group management routines
  • +Exports support downstream reporting for herd-assurance style processes
  • +Configuration supports multi-farm usage without separate databases
Cons
  • –RFID and reader integrations are not always ready for every hardware setup
  • –Advanced automation depends on careful workflow configuration
  • –Batch-focused tracking can be harder to reconcile with strict individual-only audits
  • –Reporting breadth is stronger for common events than for niche cross-exports
Use scenarios
  • Farm operations teams

    Log yard workflow events on mobile

    Day-to-day records stay organized

  • Multi-farm compliance coordinators

    Export datasets from operational logs

    More reliable export data

Show 2 more scenarios
  • Ranch managers

    Track batches and pen-level routines

    Fewer scattered spreadsheets

    Keep operational tracking centered on yards, batches, and repeated routines instead of isolated reporting.

  • Handling teams

    Keep animal records consistent across farms

    Reduced record mismatch

    Update herd and animal records from yard interactions so changes remain consistent across farm handoffs.

Best for: Fits when livestock teams want consistent mobile event capture and practical reporting exports across multiple farms.

#7

Breedr

SMB

Mobile app for beef producers tracking individual animal performance and supply chain metrics.

7.6/10
Overall
Features7.6/10
Ease of Use7.6/10
Value7.6/10
Standout feature

Event timeline built for recurring breeding and calving interval tracking from day-to-day yard entries.

Breedr is a cattle tracking system focused on combining animal records, events, and weights into a workflow that farm teams can use day to day. It emphasizes mobile-first yard data capture and record updates, then compiles that history into repeatable herd reports.

Pros
  • +Mobile yard workflows keep weight and event capture close to handling
  • +Clear event timeline supports breeding, calving, and interval history review
  • +Batch import and export supports administrative handoffs to other systems
  • +Report outputs reflect recently updated animal records and events
Cons
  • –Specialized NLIS-related reconciliation and lodgement workflows need external process steps
  • –Advanced automation beyond event capture can require configuration work
  • –Deep multi-site governance controls are less explicit than in enterprise-grade tools
  • –Offline sync behavior and conflict handling are not as transparent as in higher-detail vendors
Use scenarios
  • Ranch health coordinators

    Record treatments and withdrawal notes

    Treatment continuity improves

  • Livestock performance breeders

    Capture weights and production signals

    Easier performance comparisons

Show 2 more scenarios
  • Poultry flock managers

    Track batch placement and mortalities

    Audit-ready flock histories

    Log placements, mortalities, weights, medication, and batch events in flock history for oversight.

  • Cattle breeding teams

    Record joining and calving outcomes

    Reproductive histories stay linked

    Log breeding attempts and reproductive outcomes against individual animals with linked event timelines.

Best for: Fits when farm teams want mobile-driven cattle records with practical reporting and batch import/export for administration.

#8

Performance Livestock Analytics

SMB

Software integrating with scale heads to record cattle weights and calculate average daily gain.

7.2/10
Overall
Features7.2/10
Ease of Use7.1/10
Value7.3/10
Standout feature

Event-driven tracking workflows that connect identity reads and performance captures into one herd timeline.

Performance Livestock Analytics targets cattle tracking with workflow support tied to yard capture, identity mapping, and animal performance records. The tool focuses on integrating field and management events into a consistent tracking timeline, then generating practical herd views for operational decisions. Automation is centered on moving data from readers and weigh events into record updates, while reports support ongoing compliance-style recordkeeping for farm teams.

Pros
  • +Yard-capture to herd-history workflow reduces manual re-entry between events
  • +Identity mapping keeps RFID-tag reads aligned to animal records
  • +Performance and management fields appear together for faster review cycles
  • +Event-driven updates support routine herd checks without rebuilding reports
Cons
  • –Reader and data capture setup can require careful workflow configuration discipline
  • –Some advanced reporting requires clearer template guidance for consistent outputs
  • –Data import variations may increase cleanup effort when event formats differ
  • –Limited visibility into low-level integration diagnostics during troubleshooting
Use scenarios
  • Cattle ranch managers

    Compare weights across production groups

    More consistent comparisons

  • Feedlot operators

    Update records from yard capture events

    Fewer missed updates

Show 2 more scenarios
  • Breeding teams

    Track service and kidding outcomes

    Longitudinal reproductive records

    Link service and reproductive events to animal histories for follow-up analysis across cycles.

  • Ranch analysts

    Generate scheduled herd review summaries

    Consistent ranch report views

    Turn structured ranch records into recurring summaries for scheduled herd and production reviews.

Best for: Fits when livestock teams want event-to-history cattle tracking with operational herd views.

#9

Herdwatch

SMB

Mobile application for recording cattle movements and herd data for regulatory compliance.

6.9/10
Overall
Features6.9/10
Ease of Use6.9/10
Value6.9/10
Standout feature

Event timeline tracking that links management actions to individual animal records for audit-ready history.

Herdwatch is built for farms that manage cattle through ongoing operational events like movement between paddocks and repeated checks. The software organizes animal profiles and ties new records to those profiles so day-to-day changes remain searchable. Teams typically use it to keep herd history in one place and reduce re-keying between yard, office, and farm handoffs. Administrative features support multiple roles so records can be updated while maintaining controlled access to key data.

Pros
  • +Clear herd and animal record workflow for day-to-day logging
  • +Operational reporting for movements, events, and management checkpoints
  • +Multi-user setup for teams that share data entry responsibilities
  • +Event-driven tracking that connects observations to the animal timeline
Cons
  • –RFID and reader hardware integration scope is narrower than some competitors
  • –Offline sync and yard-app coverage are limited for high-field connectivity scenarios
  • –Automation depth is weaker for complex multi-step drafting and breeding workflows
  • –Some governance needs require careful process discipline by farm admins
Use scenarios
  • Cow-calf producers

    Capture breeding cycles and calving intervals

    Summaries tied to events

  • Grazing farm managers

    Log paddock rotations and offline work

    Paddock activity stays recorded

Show 2 more scenarios
  • Mixed-livestock operations

    Reconcile drafting and weighing with inventory changes

    Inventory changes reconcile over time

    Track drafting, weighing, sales movements, and herd composition changes in a searchable history.

  • Multi-person farm teams

    Use shared working lists and event definitions

    Records less dependent on spreadsheets

    Standardize event entry across staff and locations to reduce dependence on paper notes.

Best for: Fits when livestock teams want consistent herd records and practical reporting without heavy custom integrations.

#10

Agriwebb

enterprise

Farm management software for livestock operations covering record keeping and compliance.

6.5/10
Overall
Features6.5/10
Ease of Use6.5/10
Value6.5/10
Standout feature

Management event timeline that ties yard, paddock, and handling actions to the individual animal record.

Agriwebb logs cattle movements and management events in a workflow built around yards, paddocks, and task history. It supports tag-based animal records and linking handling events to individuals so teams can produce traceable herd timelines.

Pros
  • +Event timeline keeps yard and paddock history tied to individual animals
  • +Task and management logs support repeatable workflows for routine herd work
  • +Reports track handling activity and outcomes at both herd and animal levels
  • +Mobile-friendly capture reduces rework after on-farm handling
Cons
  • –Advanced integrations and offline sync behavior require careful rollout planning
  • –Breed and genetic workflows rely on external data preparation for imports
  • –Custom automation needs more configuration than simple form-based tools
  • –Less analytics depth than platforms that focus on performance modeling
Use scenarios
  • Feedlot managers

    Capture intake details through closeout

    Lot and animal histories improve

  • Ranchers and grazing managers

    Track mobs and paddock assignments

    Continuous location and activity view

Show 2 more scenarios
  • Breeding operation managers

    Log calving outcomes with reproductive events

    Connected reproductive records

    Record births, breeding events, calving outcomes, and observations linked to herd histories for follow-up.

  • Distributed farm teams

    Coordinate rounds with task and event logs

    Fewer missed operational records

    Use task and event logging to coordinate observations and follow-ups across shifts or locations.

Best for: Fits when cattle teams need traceable handling logs and repeatable herd workflows with practical reporting.

Conclusion

After evaluating 10 cattle tracking software, Vytelle stands out as our overall top pick — it scored highest across our combined criteria of features, ease of use, and value, which is why it sits at #1 in the rankings above.

Our Top Pick
Vytelle

Use the comparison table and detailed reviews above to validate the fit against your own requirements before committing to a tool.

Frequently Asked Questions About Cattle Tracking Software

How does Livestocked link paddock planning to individual or group animal records during daily work?
Livestocked ties herd events to paddock plans so that moves, treatments, and routine tasks stay connected to the same stock records. This structure keeps field work auditable across a paddock rotation log and later reporting.
What breaks if a farm tries to use Herdwatch as an RFID-first system without a tag-read workflow?
Herdwatch centers on maintaining herd and animal profiles with event timelines, so missing reader-driven identification creates gaps in traceability. Teams still can log observations, but identity mapping stays incomplete compared with Vytelle or CattleMax where event triggers attach reads to records.
Which tool provides operator role separation for event capture versus reconciliation and exports?
Vytelle is built around structured roles where yard-side operators capture identification reads and other staff reconcile downstream reports and exports. This separation supports event-triggered workflows that reduce re-entry across drafting and performance steps.
How does Performance Livestock Analytics handle the flow from yard capture and weighing events into a consistent herd timeline?
Performance Livestock Analytics takes reader and weigh events and updates a unified tracking timeline so later herd views reflect the same identity mapping. The platform’s operational reporting focuses on translating those events into recordkeeping views instead of only producing ad hoc summaries.
How do administrators control multi-user traceability in herd event entry systems like Herdwatch?
Herdwatch provides admin controls for multi-user operation so teams can update records without losing the audit trail tied to animal and herd profiles. It keeps event timeline tracking anchored to who captured or updated each record.
What integration questions should be tested first for cattle tracking deployments that depend on reader hardware?
Agriwebb, CattleMax, and Vytelle all depend on reliable identity capture from tag reads, so integrations must be tested end to end from reader output to record linkage. These tools differ in how tightly their workflows attach reads to specific handling steps, so a reader test should validate those device-linked triggers.
Which system best fits dairy operations that want automated mobility and body condition scoring at a handling chokepoint?
CattleEye fits when cows repeatedly pass a milking-parlour exit because fixed 3D cameras automate mobility and body condition scoring per visit. The workflow is built around that recurring passage, unlike tools such as Livestocked or Moocall that organize work around paddocks and yard batches.
How does Agriwebb keep drafting and recurring management tasks auditable across visits to the same animals?
Agriwebb ties yard, paddock, and handling actions to individual animal records so event history remains traceable across multiple visits. It also supports recurring management tasks so teams record repeated work in a consistent event structure.
When teams need cow-level sensing connected to herd decisions and sorting outcomes, how does Afimilk’s workflow differ from RFID-first systems?
Afimilk combines cow-level sensing such as activity and rumination with herd decision workflows inside AfiFarm, and then connects those signals to operational sorting gates. CattleMax and Vytelle focus on RFID-driven event timelines, so they typically do not provide the same sensing-to-decision coupling.

Tools reviewed

Primary sources checked during evaluation.

Referenced in the comparison table and product reviews above.

How to Choose the Right Cattle Tracking Software

In cattle tracking software, the real separation comes from how well data links stay consistent through the day’s moves and events, and whether automation reduces manual cleanup. Pay closest attention to data model consistency and event capture workflow.

Animal identity matching across events

Why it matters

Animal identity matching across events prevents duplicate or lost records when you tag, transfer, weigh, or record health actions. When identities drift, reporting and compliance exports become unreliable.

How to check

In a demo, run a sample herd with two similar animals and record a move plus a health event. Ask how the system prevents new IDs or forks from old ones and what it shows when the match is uncertain.

Move and health event capture flow

Why it matters

Move and health event capture flow determines whether staff can log what happened at the right time and place. Clear event capture also improves traceability when you later audit decisions.

How to check

Request a walk-through of adding a pen change and recording a treatment during the same session. Ask which fields are mandatory, how it handles missing data, and where edits appear in the history.

Weighing and outcome record handling

Why it matters

Weighing and outcome record handling matters because cattle performance work depends on timestamps and repeat measurements. Poor handling creates broken trends and messy history.

How to check

Use the demo to enter multiple weights for the same animal on different dates, then remove one and re-enter it. Ask how the system stores measurement notes and preserves prior values.

Traceability reports from events

Why it matters

Traceability reports from events shows whether the software can answer real questions like “where was this animal and what happened” without manual stitching. The report logic has to follow your event rules.

How to check

Ask for a sample report for a single animal across moves and treatments. Verify the chain of events, filters by date and group, and how the report behaves if an event was edited.

Import/export templates and validation

Why it matters

Import/export templates and validation reduce the time spent cleaning spreadsheets and correcting mismatches. Validation rules also help you catch bad data before it spreads through the herd history.

How to check

Request a sample import file format and a guided test import with one intentional error (like a wrong date format or missing required field). Check whether the tool rejects the row, flags it, and how it logs the reason.

API and automation for routine tasks

Why it matters

API and automation for routine tasks cut manual entry for frequent workflows like updating status or syncing changes from other systems. The depth of automation affects how much you can standardize across staff.

How to check

During the demo, ask what can be automated via API or scheduled jobs, such as pushing new animals or pulling updates. Request an example endpoint/workflow and a sandbox-like test dataset to confirm throughput and field mapping.

Red flags

  • Edits rewrite history without showing what changed
  • Reports skip events or break the event chain after transfers
  • Imports accept bad rows or fail without clear error reasons

Fit by situation

  • If you frequently move cattle between yards, prioritize Animal identity matching across events.
  • If staff log treatments on the same day as moves, prioritize Move and health event capture flow.
  • If you rely on repeat weights to track performance, prioritize Weighing and outcome record handling.
Commissioned Research

Funding and competing interests

This study was co-funded by several of the vendors assessed in it. No single vendor funded it. Funders could propose the market studied.

They had no role in selecting vendors, setting or weighting criteria, analysing data or drawing conclusions, and they received the same factual-accuracy check as every other vendor assessed.

Market definition, inclusion rules and criteria weights were fixed by an editor before research began and did not change afterwards. Editorial process →

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