MétaCan
Menu
Back to cohort
Record W1992959707 · doi:10.1093/ps/79.8.1194

Bacteriological and Histological Profile of Turkeys Condemned for Cyanosis

2000· article· en· W1992959707 on OpenAlexafffundabout
J.G. Mallia, Bruce Hunter, Jean‐Pierre Vaillancourt, R. Irwin, C A Muckle, Stephen Martin, Scott A. McEwen

Bibliographic record

VenuePoultry Science · 2000
Typearticle
Languageen
FieldDecision Sciences
TopicReliability and Agreement in Measurement
Canadian institutionsHealth CanadaUniversity of Guelph
FundersHealth Canada
KeywordsSalmonellaVeterinary medicineRappaportMedicineBiologyBacteria

Abstract

fetched live from OpenAlex

Canadian Food Inspection Agency (CFIA) has adopted the term cyanosis to describe a category of condemnation for poultry that is dark but has no other condemnable lesions. Two case-control studies (n = 30 pairs; n = 65 pairs) of 18-wk-old tom turkeys were conducted. A case was defined as a carcass condemned by the veterinary inspector for cyanosis, and a control carcass was one that passed inspection. Microbiological tests were conducted on samples of Pectoralis major and Gastrocnemius lacteralis. A modified Rappaport Vassiliadis medium was used for Salmonella, and a Petrifilm method was used to assess aerobic counts, coliform counts, and Escherichia coli. The Salmonella (qualitative) test was negative for all cases and controls, and there were no significant differences between the aerobic counts, coliform counts, and E. coli counts of case and control carcasses. Two pathologists conducted a blind histopathological study: there were no lesions compatible with those of septicemia-toxemia, as defined by CFIA and the USDA, nor any significant histopathological differences between the skin, P. major, G. lateralis, kidney, liver, spleen, small intestine, pancreas, lung, and heart of cases and controls. The inter-rater agreement between pathologists ranged from good to excellent (Kappa = 0.7 to 1.0). In the absence of important lesions and microbial contamination, carcasses with this color change alone should be suitable for human consumption.

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)0.006
metaresearch head score (Gemma)0.005
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.397
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.175
GPT teacher head0.388
Teacher spread0.213 · 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.

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

Citations11
Published2000
Admission routes3
Has abstractyes

Explore more

Same venuePoultry ScienceSame topicReliability and Agreement in MeasurementFrench-language works237,207