Chromatic variability and sexual dimorphism in the rocky lizard <i>Phymaturus verdugo</i>
Bibliographic record
Abstract
The genus Phymaturus comprises lizards that inhabit cold environments at high altitudes or latitudes. Phymaturus verdugo Cei and Videla, 2003 is characterized by cephalic melanism, which is interpreted as a character present only in males and associated with sexual dimorphism. Using spectrophotometry and photography, we demonstrate that this species has high chromatic variability and that melanism is also present in females. By comparing colour variables on 15 patches of the body, we find significant differences between sexes in all patches, indicating strong sexual dichromatism for the entire body, not only the cephalic region. Body temperature had no effect on skin reflectance or melanism, which indicates that thermoregulation early in the day is not mediated by colour changes. Contrary to our predictions, we found no evidence of better body condition in darker individuals. Our study breaks some paradigms about the genus Phymaturus and suggests that human perception of colour, as well as working with small samples, can lead to misidentification or erroneous descriptions of species. We believe that future studies should explore heating rates and other functions of melanism such as crypsis, sexual selection, immune response, and UV protection to understand chromatic variability within this genus.
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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 | 0.000 | 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) | 0.001 | 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".