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Record W2415155358 · doi:10.2460/javma.235.4.377

What Is Your Diagnosis?

2009· article· en· W2415155358 on OpenAlexaff
James L. Carmalt

Bibliographic record

VenueJournal of the American Veterinary Medical Association · 2009
Typearticle
Languageen
FieldVeterinary
TopicVeterinary Orthopedics and Neurology
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsComputer science

Abstract

fetched live from OpenAlex

HistoryA 15-year-old Quarter Horse gelding was referred with a 5-day history of lameness.Clinical examination revealed that the horse had a grade 3 of 5 lameness of the right forelimb.Signs of pain were evident when pressure was applied with hoof testers to the medial aspect of the frog.There was palpable effusion of the dorsal pouch of the distal interphalangeal joint (coffin joint), and the distal aspect of the forelimb to the level of the metacarpophalangeal joint (fetlock joint) was also mildly swollen and edematous.Synovial fluid acquired by arthrocentesis of the distal interphalangeal joint was slightly cloudy and had a low viscosity.Cytologic examination of synovial fluid revealed a nucleated cell count of 4.4 X 10 9 cells/L (81.5% nondegenerative neutrophils and 18.5% small and large mononuclear cells) and a total protein concentration of 44 g/L.Intra-articular analgesic administration did not result in an improvement in lameness.Radiographic views of the right forefoot were obtained (Figure 1).Determine whether additional imaging studies are required, or make your diagnosis from Figure 1-then turn the page →

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)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.027
Threshold uncertainty score0.089

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0020.001
Scholarly communication0.0010.003
Open science0.0020.001
Research integrity0.0060.005
Insufficient payload (model declined to judge)0.0270.008

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 head0.056
GPT teacher head0.364
Teacher spread0.309 · 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 designCase report
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
Published2009
Admission routes1
Has abstractyes

Explore more

Same venueJournal of the American Veterinary Medical AssociationSame topicVeterinary Orthopedics and NeurologyFrench-language works237,207