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Record W6991888671

An investigation of the risk factors associated with chronic pneumonia and polyarthritis syndrome in feedlot calves

2004· dissertation· en· W6991888671 on OpenAlexaboutno aff

Bibliographic record

VenueThe Atrium (University of Guelph) · 2004
Typedissertation
Languageen
FieldVeterinary
TopicAnimal health and immunology
Canadian institutionsnot available
Fundersnot available
KeywordsFeedlotPolyarthritisPneumoniaMortality rateRisk factor
DOInot available

Abstract

fetched live from OpenAlex

This thesis is an investigation of possible risk factors associated with chronic pneumonia and polyarthritis syndrome (CPPS) in southwestern Ontario feedlot calves. The primary goal of this project was to determine if there were any particular calf attributes, management or housing factors that would lead to an increased risk of CPPS mortality in newly arrived feedlot calves. All data were analyzed using a generalized linear modeling technique where the variables positively associated with CPPS mortality included the percent treated for respiratory disease, the percent retreated, and if the calves were purchased locally. One variable was found to have a protective effect; if producers kept written treatment records then they tended to have lower CPPS mortality rates. It was also found that CPPS mortality clusters at the pen level, not the farm level, leading to the conclusion that the predisposition for CPPS mortality likely arrives in the pen with the cattle.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.025
Threshold uncertainty score0.050

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.022
GPT teacher head0.244
Teacher spread0.223 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2004
Admission routes1
Has abstractyes

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