Dades preliminars sobre la població de Mauremys leprosa (Testudines: Geoemydidae) d'Alcoi (Alacant)
Bibliographic record
Abstract
Es proporcionen dades sobre les característiques morfomètriques i l'estructura d'una població detortuga d'aigua ibèrica (Mauremys leprosa) del riu Serpis al seu pas per Alcoi, SE d'Espanya, una zonaon pràcticament no consta informació prèvia sobre l'espècie. Entre setembre i octubre de 2014 escapturaren 18 individus. La raó de sexes no era equilibrada, en estar molt esbiaixada vers els mascles(4.5:1). El percentatge d'individus juvenils és menor que el d'adults. Les femelles assolixen una midamitjana més gran que els mascles. Es calcula que la població pot estar formada per 64 exemplars.Preliminary data on the Mauremys leprosa (Testudines: Geoemydidae) populationfrom Alcoi (Alacant)We provide data on the morphometric characteristics and structure of a population of the stripeneckedterrapin (Mauremys leprosa) from the Serpis river (Alcoi, SE Spain), an area where barely anyprevious information for the species exists. 18 individuals were captured between September 2014 andOctober 2014. The ratio of sexes was not even and males outnumbered females (4.5:1). The percentageof juveniles was less than that of adults. Females reached a greater average size than males. We calculatethat the total population is made up of 64 individuals.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.002 |
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".