Eficacia en la detección de calores en hatos especializados en carne y leche implementando el método de pintura en la cola
Bibliographic record
Abstract
El proyecto consistió en realizar una evaluación del método de pintura en la cola en tres hatos: En Cundinamarca, Finca Santa María del Puyón UNISALLE, Finca Los Venados, y en Boyacá, Finca La Cañada especializadas en la explotación de cría y/o lechería. Se utilizaron totalmente al azar un total de 90 vacas, establecidos en dos grupos 15 vacas sometidas al tratamiento de pintura en la cola vs 15 vacas como grupo testigo, en igualdad de condiciones en cada una de las fincas. Para el grupo de animales con pintura en la cola (tratamiento 1) se obtuvieron porcentajes de detección de calores del 62,2% en la Finca los Venados, 57,8 en La Finca Santa María del Puyón y 75,6% en la Finca la cañada, Vs los animales sin pintura en la cola (tratamiento 2) 28,9% en la Hacienda los Venados, 37,8% CIC y 62,2% Hacienda La Cañada.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".