Computed tomographic angiographic study of common carotid artery anatomic relationships in the dog.
Bibliographic record
Abstract
Objective: To further understand spatial relationships of common carotid arteries to adjacent structures through evaluation of computed tomographic angiograms in dogs. Animals: 24 pet dogs. Procedure: A database was searched for triplanar computed tomographic angiograms that included the heart base caudally and the 5th cervical vertebra cranially, without macroscopic abnormalities. Measurements included brachiocephalic trunk length, common carotid arteries' position relative to the trachea, transverse (axial) thoracic height and width, manubrium length, and length of the 7th cervical vertebra (C7). Results: = 23). Conclusion: Some or all measurements were feasible in all dogs. Understanding interindividual variation in spatial relationships is pertinent to differentiating normal from abnormal, for surgical planning, and possibly for elucidating the pathogenesis of certain disorders. Clinical relevance: ., breeds) and dogs with cervical or thoracic abnormalities.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".