Thermal ecology of male tarantulas (<i>Aphonopelma anax</i>) during the mating season
Bibliographic record
Abstract
During the mating season, male tarantulas abandon their burrows and actively search for widely distributed females, which remain fossorial. As a result, males are exposed to larger fluctuations in environmental conditions without the protection of a permanent retreat. Body temperatures (Tb) of active male tarantulas (Aphonopelma anax) encountered fortuitously in the field ranged from 24.7 to 35.1°C and preferred Tb's measured in a laboratory thermal gradient ranged from 22.1 to 31.3°C. The thermal options available to males at random points in their environment varied substantially throughout the day but temperatures typically exceeded 40°C. In comparison, temperatures within burrows remained below 40°C. Indices calculated from these temperature data suggested that males thermoregulated effectively during the day, while environmental temperatures were within their preferred Tbrange at night and so active regulation of Tbwas unnecessary. In addition, I determined the exact times that males ceased locomotory activity in the morning (retreat) and when they started activity in the evening (emergence). Data from 23 radio-tagged males indicated that they retreated into temporary burrows between 06:47 and 10:53 CST. Activity commenced again between 16:36 and 20:53 CST as temperatures approached their preferred or selected Tbrange.
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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".