EFFECT OF GENOTYPE, AGE, BODY WEIGHT AND SEX ON THE BODY COMPOSITION OF GROWING RABBITS.
Bibliographic record
Abstract
Body composition of 503 growing rabbits of both sexes was examined at the age of 6, 8, 10, 12, 14 and 16 weeks. The animals were of four genotypes: purebred Pannon White (PP) and Danish White (DD) and their reciprocal crossings: DP and PD. Between the ages of 6 and 16 weeks, dry matter of the empty body increased from 27.6% to 34.2%, fat from 5.4% to 10.1 % and protein from 18.4% to 20.9%, whereas ash content decreased from 3.5% to 3.0%. The effect of body weight was greater than that of the age. The two groups containing the highest numbers of animals (PP and DP) had similar protein and ash content, but the DP genotype had a higher fat content than PP. Sex affected fat content only: the female rabbits contained significantly (P < 0.01) more body fat than the male rabbits but only at 12 weeks.
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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 | 0.001 |
| 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 | 0.001 |
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".