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Record W3130353054 · doi:10.21423/aabppro20123920

Otitis media and interna in dairy calves

2012· article· en· W3130353054 on OpenAlexaffabout
Véronique Bernier Gosselin, G. Fecteau, David Francoz, André Desrochers, Sylvain Nichols, Marie Babkine

Bibliographic record

VenueAmerican Association of Bovine Practitioners Conference Proceedings · 2012
Typearticle
Languageen
FieldImmunology and Microbiology
TopicMicrobial infections and disease research
Canadian institutionsCentre Hospitalier de l’Université de Montréal
Fundersnot available
KeywordsOtitisMedicineEtiologyEpidemiologyPediatricsHead tiltEar diseaseFacial paralysisRetrospective cohort studyDiseaseSurgeryInternal medicineAudiologyHearing loss

Abstract

fetched live from OpenAlex

Otitis media is a common disease in calves. Although its prevalence has not yet been established, it is probably underestimated. Clinical signs of otitis media include a dropped ear caused by facial paralysis, head tilt, and purulent auricular discharge. Prognosis is variable. Poor response to treatment has been reported to be associated with chronicity, intracranial invasion, multisystemic disease and etiological agent. Recently, Mycoplasma spp has been reported as a common cause of otitis in calves. The objective of this retrospective study was to review the epidemiological data, clinical findings, laboratory data, medical imaging results, and outcomes of dairy calves diagnosed with otitis media or interna that were referred to the Centre Hospitalier Universitaire Vétérinaire (CHUV) of the Université de Montréal.

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)0.001
metaresearch head score (Gemma)0.002
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 score0.011
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
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 head0.014
GPT teacher head0.275
Teacher spread0.261 · 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

Citations1
Published2012
Admission routes2
Has abstractyes

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