Environmentally cued hatching in the bird‐parasitic nest fly <i><scp>P</scp>hilornis downsi</i>
Bibliographic record
Abstract
Abstract Under the hypothesis of environmentally cued hatching (ECH), eggs are stimulated to hatch by cues favouring larval survival. Here we investigated whether the bird‐parasitic nest fly Philornis downsi Dodge & Aitken (Diptera: Muscidae) exhibits ECH in response to the presence of suitable hosts and environmental conditions. Philornis downsi is an invasive in the Galapagos Islands and ECH could help to explain its success in a novel habitat. We found that the presence of hosts (nesting birds) per se does not accelerate hatching time in P. downsi, but that nesting birds do produce a microclimate, in terms of temperature and/or humidity that is conducive to faster hatching and higher hatching success. Eggs that are laid under extremely dry conditions die rather than delay their hatching time. We also found that P. downsi eggs hatch more rapidly when the substrate is very wet. Furthermore, larvae that hatch rapidly survive longer under starvation conditions. We suggest that eggs hatching more rapidly can either take advantage of optimal conditions for larval growth (host presence) or escape unfavourable microclimatic conditions (as larvae are mobile).
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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".