Influence of Type of Birth and Sex on Weaning Weight of Dorper Crossbred Lambs
Bibliographic record
Abstract
The aim of the present study was to analyze live weight and growth data of live weight at birth to 24.5-25.5 kg in weaned Dorper crossbred lambs. A total of 93 Dorper crossbred born lambs (½ Dorper + ½ Santa Inês) were evaluated, with percentage of 17.7 double (twin couple = 21%, twin with only females = 50%, twin with only males 29%). The sex of the lamb influenced (P < 0.05) the live weight at birth total (LWBtotal) and live weight at birth average (LWBaverage), the male lambs had in both characteristics superior values. No differences (P > 0.05) were found for the age at weaning (AW), live weight at birth total (LWWtotal) and live weight at weaning average (LWWaverage). For the type of birth all characteristics were significant (P < 0.05). For doubling birth the characteristics LWBtotal, AW and LWWtotal had higher values
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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 | 0.000 | 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".