Influencia de las fases lunares como una herramienta de medición de acontecimientos reproductivos. Primera aproximación
Bibliographic record
Abstract
There is a proven influence of the moon on some agricultural tasks, but at level of the animáis such influence has been little analyzed. The objective of this research was the analyze of influence moon about some reproductive process in bovines. The results of the present investigation were obtained by X2 from a data set of 830 registrations of natural heat and 305 data of births, collected of some herds located in the Southern Región of Ecuador-South America. The study showed that the natural heat and the births in bovines follow a eyelieal process, having a higher incidence of these processes in the phases of first quarter and full moon, while in the waning phase, the incidence is lower. Also is noted that the mating cows in any phase, tend to calve in the two following phases and the probability of parturition in the same phase that oceurred the mating is lower. As for the synchronization of heat, the better results in the conception rate at the first service were obtained when the female bovine were synchronizing in the dark moon and first quarter phases. In conclusión have influence of the moon phases in the reproductive process analyzed, so is important it's considered for take better results.
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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 | 0.002 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".