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Record W4378374939 · doi:10.2460/javma.23.03.0169

Chronic, circumferential forelimb wound and lameness in a 4-year-old male castrated Labradoodle

2023· article· en· W4378374939 on OpenAlexaboutno aff
Danielle L. Hollenbeck, Beth Boudreau, Katherine Barnes, Lauren Russell

Bibliographic record

VenueJournal of the American Veterinary Medical Association · 2023
Typearticle
Languageen
FieldImmunology and Microbiology
TopicRabies epidemiology and control
Canadian institutionsnot available
Fundersnot available
KeywordsForelimbLamenessAnatomyMedicineSurgery

Abstract

fetched live from OpenAlex

A 4-year-old 38.4-kg castrated male Labrador Retriever-Poodle cross was presented to Texas A&M University's Small Animal Emergency Service because of left thoracic limb lameness.The dog was initially presented to another emergency clinic 4 weeks prior due to licking at the left carpus and favoring the left forelimb.The left carpus was clipped, and a circumferential wound was identified and treated with hydrotherapy, bandage changes, cold laser therapy, and two 1-week courses of clindamycin over that month.The week prior to presentation at our hospital, the dog became non-weight-bearing on the limb.On initial examination at our referral hospital, the dog was bright and alert with vital signs within normal limits.There was a firm, painful swelling over the left distal antebrachium proximal to the carpal joint, and a circumferential dermal scar with a soft, fluid-filled area on the caudomedial aspect of the scar.There was no open draining tract.The dog was non-weight-bearing and knuckling on the left forelimb on gait examination.On neurologic examination, the dog had an absent withdrawal, marked muscle atrophy, and no appreciable deep pain distal to the carpus in the left thoracic limb.Baseline bloodwork showed a mild leukocytosis (WBC count, 17.5 X 10 3 WBCs/µL; reference range, 6 X 10 3 to 17 X 10 3 WBCs/µL), mature neutrophilia (14.35 X 10 3 neutrophils/µL; reference range, 0.3 X 10 3 to 11.5 X 10 3 neutrophils/µL), and mildly elevated globulins (4.1 g/dL; reference range, 1.7 to 3.8 g/dL).All other results were within reference ranges.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.157
Threshold uncertainty score0.277

Codex and Gemma teacher scores by category

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

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 head0.017
GPT teacher head0.280
Teacher spread0.264 · 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.

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
Published2023
Admission routes1
Has abstractyes

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