Seasonal variability in brown tree snake (<i>Boiga irregularis</i>) response to lures
Bibliographic record
Abstract
In continuing investigations of brown tree snake, Boiga irregularis, attraction to carrion odor, we hypothesized that the attractiveness of live or dead and visually apparent or concealed lures varies seasonally. We determined that lure condition (live or dead mouse lures) and sensory cues (visually apparent or concealed lure) interact among wet and dry seasons. Concealed carrion lures were more effective during the dry season than the wet season, but the effectiveness of live mouse lures showed less seasonal variability. We identified weather variables that covary with observed seasonal trends in capture rates and investigated the influence of recent feeding on snake response to lures. Data suggest that live mouse lure capture rates correlate with wind and dead mouse capture rates correlate with rainfall. Recently fed and satiated snakes were not less responsive to lures but were less active than unfed snakes. Snakes held for over 2 years were less responsive than recently captured snakes. More intensive studies will be required to determine cause-and-effect relationships between lure type, seasonality, and snake behavior.
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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 | 0.001 |
| 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".