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Record W142782839 · doi:10.1177/089875641002700102

A Survey of Equine Oral Pathology

2010· article· en· W142782839 on OpenAlexfundaboutno aff
James Anthony, Cheryl Waldner, Candace G. Grier, Amanda R. Laycock

Bibliographic record

VenueJournal of Veterinary Dentistry · 2010
Typearticle
Languageen
FieldVeterinary
TopicVeterinary Equine Medical Research
Canadian institutionsnot available
FundersTransport CanadaCanadian Food Inspection Agency
KeywordsMedicineDentistryCheek teethOral and maxillofacial pathologyHorsePeriodontal diseaseGingival recessionOral examinationVeterinary medicineOral health

Abstract

fetched live from OpenAlex

Dental abnormalities in horses can lead to weight-loss, poor performance, pain, behavioral abnormalities, and illness. Despite this impact, the occurrence and type of dental disease in horse populations is infrequently reported in veterinary medicine. The purpose of this cross-sectional survey of horses presented for slaughter at a processing plant in Western Canada was to measure the prevalence of equine oral abnormalities, examine associations between the most common abnormalities, and consider the relationship between the age of horse and types of abnormalities observed. The horses used in this research consisted of a variety of ages, breeds, body conditions, and origins. Horses ranged in age from 18-months to 30-years (median = 11-years). The most common oral pathologies included sharp edges, buccal abrasions, calculus, lingual ulcers, gingival recession, periodontal pockets, ramps, and waves. Several types of pathology were strongly associated with other dental disorders. The prevalence of periodontal pockets, gingival recession, and waves was highest in older horses.

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)0.003
metaresearch head score (Gemma)0.002
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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.914
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
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 head0.205
GPT teacher head0.461
Teacher spread0.257 · 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 designBench or experimental
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

Citations30
Published2010
Admission routes2
Has abstractyes

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