Life at the river's edge: ecology of <i>Kentropyx altamazonica</i> in Brazilian Amazonia
Bibliographic record
Abstract
The teiid lizard Kentropyx altamazonica was studied at two localities in the Brazilian Amazon region, one in Amazonas (Rio Ituxi) and the other in Rondônia (Rio Formoso). This lizard is linearly distributed along water courses, where it carries on most activities in well-lit, warm microhabitats. Activity does not occur on days with cloud cover. Late morning and midday activity predominates on sunny days. Body temperatures of active lizards were 35.9 ± 0.37°C (mean ± SE) and were higher than substrate or air temperatures at the point of capture and higher than overall temperatures in the habitat. Although a variety of prey types are eaten, spiders, grasshoppers and crickets, roaches, and insect larvae dominate the diet. Larger lizards eat larger prey but also include small prey in their diets. Absolute and relative prey sizes were greater for lizards at the Rio Ituxi than for those in Rondônia, but lizard stomachs were equally full, suggesting that prey types available varied between sites. Males reach larger body sizes than females and have relatively larger heads. Although K. altamazonica is similar in ecology to other Amazonian Kentropyx species, it is more closely associated with water than the others.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 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) | 0.001 | 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".