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Record W2415576181 · doi:10.2460/javma.2005.226.1301

What Is Your Diagnosis?

2005· article· en· W2415576181 on OpenAlexaboutno aff
William J. Mazur, T. Lazar

Bibliographic record

VenueJournal of the American Veterinary Medical Association · 2005
Typearticle
Languageen
FieldVeterinary
TopicVeterinary Orthopedics and Neurology
Canadian institutionsnot available
Fundersnot available
KeywordsPsychology

Abstract

fetched live from OpenAlex

What Is Your Diagnosis? HistoryA 10-year-old spayed female Labrador Retriever was evaluated for lethargy and unwillingness to climb stairs of approximately 4 weeks' duration.On physical examination, manipulation of the cervical portion of the vertebral column elicited signs of discomfort and the dog was reluctant to lift its head.Additionally, there was mild ataxia of all limbs and an intermittent non-weight-bearing lameness of the right fore limb.Survey radiographs of the cervical portion of the vertebral column were obtained (Figure 1).Determine whether additional imaging studies are required, or make your diagnosis from Figure 1-then turn the page * * Figure 1-Right lateral radiographic view of the cervical portion of the vertebral column of a 10-year-old spayed female Labrador Retriever evaluated for lethargy, unwillingness to climb stairs, and mild ataxia of approximately 4 weeks' duration. In cooperation with

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)0.007
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 score0.021
Threshold uncertainty score0.071

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0020.002
Scholarly communication0.0020.005
Open science0.0020.001
Research integrity0.0060.006
Insufficient payload (model declined to judge)0.0210.009

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 head0.057
GPT teacher head0.363
Teacher spread0.306 · 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

Citations6
Published2005
Admission routes1
Has abstractyes

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