MétaCan
Menu
Back to cohort
Record W7095696295

SEVEN-YEAR-OLD, 42kg, neutered male Labrador Re-triever. History

2007· article· en· W7095696295 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMedicine
TopicVeterinary Oncology Research
Canadian institutionsnot available
Fundersnot available
KeywordsLarynxCricoid cartilageThyroid cartilageLumen (anatomy)LaryngoscopyPhonationSagittal planeVocal folds
DOInot available

Abstract

fetched live from OpenAlex

The dog was hit by a car and immediately after the accident no abnormalities were present. One month later there were changes in phonation and dyspnea. Consider-ations were laryngeal paralysis, laryngeal neoplasia, ab-scess, cyst, granuloma, or hematoma. Laryngeal collapse due to chondromalacia was considered less likely due to the breed. The laryngeal lumen was narrow with an irregular mucosal surface and a mass was considered. A biopsy of the mucosal surface was interpreted as inflammation and granulation tissue. Imaging A laryngeal computed tomography (CT) study was per-formed to substantiate that a mass of the larynx was present. Placing the endotracheal tube was difficult and the largest tube that could be inserted had an inner diameter of 8mm. Three-millimeter contiguous transverse images were acquired from the middle mandibular region to the tho-racic inlet. The left dorsal lateral aspect of the cricoid cartilage was fractured with overriding fracture fragments causing axial deviation of the left lateral laryngeal wall and laryngeal lumen narrowing. There was mild uniform thick-Fig. 1. Transverse image through C2 and the fractured cricoid cartilage. There is an overriding fracture of the mineralized cricoid cartilage. The laryngeal lumen is narrowed. 13004 13004mm (1 1DPI). Fig. 2. Sagittal multiplanar reconstruction showing overriding mineral-ized cartilage fragments at site of fracture. 135 189mm (96 96DPI). Address correspondence and reprint requests to Kyle A. Francis, The

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.244
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0170.002

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 head0.061
GPT teacher head0.348
Teacher spread0.287 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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
Published2007
Admission routes1
Has abstractyes

Explore more

Same topicVeterinary Oncology ResearchFrench-language works237,207