Reproductive activity in males of Sceloporus variabilis: Little time to rest, long time to breed
Bibliographic record
Abstract
Los reptiles presentan una gran variedad de patrones reproductores, que, en el caso de los machos, van desde diferencias en la duración del ciclo reproductor (Huang, 1997; Lozano et al., 2015), la época (primavera y/o verano, época de lluvias y/o sequía) en que se lleva a cabo (Vitt y Goldberg, 1983; Ramírez-Pinilla, 1991; Ferreira et al., 2002; Goldberg, 2008) o si la actividad es continua o estacional (Méndez-de la Cruz et al., 2015). La actividad reproductora continua, es aquélla donde la producción de espermatozoides es constante durante todo el año y aunque suele ser asociada a especies tropicales (Sherbrooke, 1975; Vial y Stewart, 1985; Van Sluys, 1993), se ha registrado en especies de clima templado (Hernández-Gallegos et al., 2002; Lozano et al., 2015). En contraste, la actividad reproductora estacional es aquélla donde los machos llevan a cabo la gametogénesis en periodos específicos del año, generalmente en primavera o verano/otoño, y está típicamente asociada a especies de clima templado (Abu-Zinadah, 2008; Goldberg, 2011; Rheubert et al., 2014). De igual modo, la actividad reproductora estacional también ha sido registrada en especies tropicales (Ochotorena et al., 2005; Granados-González et al., 2017).
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.004 | 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".