Site familiarity affects antipredator behavior of the amphisbaenian<i>Blanus cinereus</i>
Bibliographic record
Abstract
Morphological adaptations of amphisbaenians to fossorial life might affect their antipredator-behavior decisions. Amphisbaenians exposed on the soil surface by a predator can escape by burrowing immediately or by using alternative defensive behaviors on the soil surface, and should decide where to burrow in order to return to their home range. We simulated in the laboratory predatory attacks toward individual amphisbaenians (Blanus cinereus), and examined whether their antipredator and burrowing responses were affected by site familiarity (familiar versus unfamiliar substrate) and their internal state (i.e., body temperature and associated burrowing performance). Amphisbaenians showed significantly longer episodes of alternative antipredator behaviors on the soil surface (coiling and still) when the temperature was low. Before starting to burrow in unfamiliar substrates, individuals emitted numerous tongue flicks and moved for significantly longer periods of time than when on familiar substrates, independently of temperature. In contrast, in their own cages, with familiar substrates, amphisbaenians performed only a few tongue flicks before starting to burrow. Subsequently, the time spent burrowing was significantly longer when the temperature was low or amphisbaenians were on an unfamiliar substrate. These results suggest that amphisbaenians are able to recognize their own home range by chemosensory cues and that they are able to use this information when deciding where to burrow to escape from potential predators.
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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 | 0.000 | 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".