Performances de reproduction des vaches laitières natives et importées dans la région du Tadla (Maroc)
Bibliographic record
Abstract
Parmi les performances de reproduction des vaches laitieres dans la region du Tadla (Maroc) sur une periode de 4 annees, l’âge a la premiere insemination artificielle (IA) a ete de 573,4 ± 35,6 jours et a l’âge au premier velage de 853,8 ± 103,5 jours, l’intervalle velage-1ere IA de 75,5 ± 35,6 jours. Celui-ci a ete plus court chez les femelles importees que chez les natives. La race Montbeliarde a ete inseminee plus tot que la race Prim’Holstein. Le taux de reussite en 1ere IA a ete de 53,2% avec de larges variations inter-annuelles et inter-elevages. Les Prim’holstein ont ete mieux fecondees que les autres races. 18,2% des vaches ont necessite 3 IA ou plus et l’indice coital a ete de 1,8 ±1,3. La campagne, l’elevage et la race ont affecte significativement le taux de femelles ayant necessite 3 IA ou plus. La race Prim’holstein francaise a manifeste un taux inferieur a celui de la race Prim’holstein canadienne. L’intervalle velage - insemination fecondante a ete de 119,2 ± 83,8 jours. Ce parametre a varie tres significativement selon l’annee, l’elevage, la race et le numero de lactation. La race Montbeliarde a presente undelai moyen de fecondation plus court que la race Prim’Holstein Canadienne.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 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".