Feeding habits of Enyalius perditus (Squamata: Leiosauridae) in an Atlantic Forest remnant in southeastern Brazil
Bibliographic record
Abstract
Hábitos alimentares de Enyalius perditus (Squamata: Leiosauridae) em um fragmento de Mata Atlântica no sudeste do Brasil. O objetivo do presente estudo foi fornecer informações sobre hábitos alimentares e outros aspectos ecológicos do lagarto Enyalius perditus em um fragmento de Mata Atlântica no estado do Rio de Janeiro, sudeste do Brasil. No Rio de Janeiro, os indivíduos de E. perditus alimentaram-se predominantemente de artrópodes, como lagartas, isópodes e aranhas, como é típico de lagartos desse gênero. Não houve variação pronunciada nos principais tipos de presas consumidas entre essa e outras populações de E. perditus estudadas, apesar de haver diferenças potenciais nos suprimentos alimentares entre ambientes. Os indivíduos consumiram fragmentos de folhas mortas, ingeriram presas comumente encontradas na serapilheira (e.g., Isopoda e larvas de Coleoptera) e foram algumas vezes encontrados no chão ou capturados em armadilhas-de-queda durante os trabalhos de campo, o que sugere que esses lagartos utilizam a serapilheira do chão da floresta para o forrageio e outras atividades, embora também utilizem poleiros acima do nível do chão.
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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".