Additional file 1 of Coat color inheritance in American mink
Bibliographic record
Abstract
Additional file 1: Table S1. Total number of mink (all eleven colors) in the pedigree along with number of mink with complete record of ancestral coat color until four generations. Table S2. Detail results showing the number of offspring produced when sires of Dark color were crossed with dams of 10 different color types and dams of Dark color were crossed with sires of 10 different color types. Table S3. Detail results showing the number of offspring produced when sires of Pastel color were crossed with dams of 10 different color types and dams of Pastel color were crossed with sires of 10 different color types. Table S4. Detail results showing the number of offspring produced when sires of Demi color were crossed with dams of 10 different color types and dams of Demi color were crossed with sires of 10 different color types. Table S5. Detail results showing the number of offspring produced when sires of Mahogany color were crossed with dams of 10 different color types and dams of Mahogany color were crossed with sires of 10 different color types. Table S6. Number and color type of offspring produced by crossing sire and dam of the same color. Table S7. Number of offspring produced by crossing and reciprocal crossing of all four-color types.
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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 | 0.001 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.449 | 0.101 |
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".