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Record W2202572188

Comparative Evaluation of the Lateral Ventricles with Computed Tomography in Yorkshire Terrier, Maltese, and Shih-Tzu Dogs

2011· article· en· W2202572188 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

Venue한국임상수의학회지 · 2011
Typearticle
Languageen
FieldMedicine
TopicComparative Animal Anatomy Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineBreedLabrador RetrieverCardiologyComputed tomographyDiameter ratioLateral ventriclesInternal medicineAnatomySurgeryAnimal scienceBiology
DOInot available

Abstract

fetched live from OpenAlex

This study was performed to evaluate the size and asymmetry of the lateral ventricles in CT images of three different small breed dogs. CT examinations were performed on thirty Yorkshire terriers, malteses, and shihtzu dogs, respectively. The size and asymmetry of their lateral ventricles were evaluated at three different levels of brain, and dogs were categorized on the basis of the percentage of their ventricular height (Vh) to brain height (Bh). Degree of asymmetry was also categorized based on the rVh (ratio of right and left ventricular heights) as normal (rVh < 1.5), mild (1.5 < rVh < 2.0), or severe (2.0 < rVh). Clinically insignificant ventricular dilation was common in these breed dogs. However, severe asymmetry was not presented in clinically normal dogs. We suggested 11 ㎜ as an upper limit of ventricular size in normal small breed dogs.

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.

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)0.000
metaresearch head score (Gemma)0.000
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 score0.008
Threshold uncertainty score0.339

Codex and Gemma teacher scores by category

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

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 head0.105
GPT teacher head0.319
Teacher spread0.213 · 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