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Record W2128534609 · doi:10.1637/6066

Association Between Cellulitis (Enlarged Sternal Bursa) and Focal Ulcerative Dermatitis in Ontario Turkeys at the Time of Processing

2003· article· en· W2128534609 on OpenAlexaffabout
Sophie St‐Hilaire, Susana Arellano, Carl S. Ribble

Bibliographic record

VenueAvian Diseases · 2003
Typearticle
Languageen
FieldMedicine
TopicStreptococcal Infections and Treatments
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsCellulitisConfidence intervalOdds ratioDermatologyMedicineBiologyVeterinary medicineInternal medicine

Abstract

fetched live from OpenAlex

We conducted a processing plant survey to determine the prevalence of cellulitis (enlarged sternal bursa) and focal ulcerative dermatitis (FUD) in Ontario turkeys during the summer and to establish whether the two conditions were associated. A total of 11,772 birds from 24 different farms were observed at three processing plants in Ontario between June and August 2001. Each bird was examined for the presence of cellulitis and FUD. The severity and location of lesions were also noted. The overall prevalence of severe cellulitis (requiring either extensive trimming or condemnation of the bird) was 8.8% (95% confidence interval [CI] = 6.7, 10.9) and the overall prevalence for FUD was 22.6% (19.3, 25.9). The Pearson correlation coefficient between the prevalences of the two lesions was 0.56 (P = 0.0043), suggesting farms with a high prevalence of FUD in their birds also had a high prevalence of cellulitis. More specifically, birds with FUD were, on average, 10.8 times more likely to have cellulitis than birds without FUD (Mantel-Haenszel summary odds ratio = 10.8; 95% CI = 9.5, 12.3). Our observations suggest FUD may predispose birds to cellulitis, in which case, preventing FUD may reduce the occurrence of cellulitis condemnations in turkeys.

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 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.007
Threshold uncertainty score0.792

Codex and Gemma teacher scores by category

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

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 head0.012
GPT teacher head0.249
Teacher spread0.237 · 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 teacher head, 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

Citations8
Published2003
Admission routes2
Has abstractyes

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