Prediction of the genetic risk for fragmented coronoid process in labrador retrievers
Bibliographic record
Abstract
In a cohort of 252 Dutch labrador retrievers born between 1988 and 1992, seven founders for fragmented coronoid process were identified. The 185 labrador retrievers born to this cohort between January 1, 1993 and January 1, 1997, were examined clinically, and radiographs of both elbows taken in four directions at 12 to 18 months of age, or earlier when they had signs of lameness, were evaluated. The diagnosis of fragmented coronoid process was confirmed by arthrotomy. The incidence of the condition in the 185 dogs was 17.3 per cent, and for each dog a genetic risk factor was calculated on the basis of its relatedness to the seven founders. The risk factors ranged from 0.07 to 0.41. The dogs were divided into classes of increasing predicted risk, and the mean risk for each class was then compared with the clinical outcome. There were no significant differences between the predicted risk and the outcome in any of the classes.
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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 | 0.002 |
| 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".