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Record W4400483029 · doi:10.1139/cjas-2024-0047

A review of foot-related lameness in feedlot cattle

2024· review· en· W4400483029 on OpenAlex
Sarah Erickson, Murray Jelinski, Calvin W. Booker, Eugene Janzen, K. S. Schwartzkopf-Genswein

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueCanadian Journal of Animal Science · 2024
Typereview
Languageen
FieldMaterials Science
TopicTextile materials and evaluations
Canadian institutionsUniversity of CalgaryUniversity of SaskatchewanAgriculture and Agri-Food CanadaTelus (Canada)
Fundersnot available
KeywordsLamenessFeedlotFoot (prosody)Animal scienceVeterinary medicineMedicineBiologySurgeryArt

Abstract

fetched live from OpenAlex

Lameness is the second most prevalent morbidity in North American feedlot cattle and is both an animal welfare and economic concern. Lameness accounts for 30%–40% of all feedlot treatments with greater than 70% being foot-related lameness (FRL). This review focused on foot rot (FR), digital dermatitis (DD), and toe tip necrosis syndrome (TTNS). While there are significant study-to-study differences regarding the prevalence of FR, DD, and TTNS, it is unequivocal that FR is the most prevalent. Poor pen conditions are risk factors for both FR and DD, but the epidemiology of the two diseases is quite different. Whereas FR is diagnosed throughout the feeding period, DD typically occurs after 80 days on feed (DOF). TTNS is the least prevalent of the three FRL, but has the greatest negative effect on animal welfare and production performance. Most TTNS cases occur within 50 DOF with treatment failure leading to a significant loss in production performance and even death. This review provides an overview of the epidemiology of lameness in feedlot cattle with emphasis on the prevalence and risk factors associated with FR, DD, and TTNS.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.655
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.077
GPT teacher head0.365
Teacher spread0.288 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it