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Record W1475736236 · doi:10.21423/aabppro20074576

Environmental Distribution of Mycobacterium avium ssp. paratuberculosis on Cow-Calf Farms with Clinical Johne's Disease in Western Canada

2007· article· en· W1475736236 on OpenAlexaffabout
Dale Douma, John Campbell, S. Hendrick

Bibliographic record

VenueAmerican Association of Bovine Practitioners Conference Proceedings · 2007
Typearticle
Languageen
FieldMedicine
TopicMycobacterium research and diagnosis
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsParatuberculosisHerdColostrumDiseaseCow-calfVeterinary medicineMycobacterium avium subsp. paratuberculosisMycobacteriumBiologyTransmission (telecommunications)ManureDisease controlLivestockMedicineBiotechnologyBacteriaImmunologyEcologyPathology

Abstract

fetched live from OpenAlex

Johne's disease, caused by Mycobacterium avium ssp. paratuberculosis (Map), is a progressive and debilitating disease of cattle. The main modes of transmission include direct contact with infectious manure or through exposure through colostrum. Calves from cow-calf herds cannot be isolated immediately after birth and so control efforts must reduce exposure to the bacteria from the environment. Environmental contamination on cow-calf farms is important to understand because if not adequately dealt with, disease control may not be achieved. Environmental testing could also reduce the cost of a herd test if it could replace animal testing in control programs. This study improves the understanding of environmental contamination of Map in cow-calf herds.

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 score0.043
Threshold uncertainty score0.086

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.286
Teacher spread0.274 · 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
Published2007
Admission routes2
Has abstractyes

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