Is the breeding behaviour of nesting seabirds influenced by the presence of a predatory reptile—the tuatara?
Bibliographic record
Abstract
Increasing our knowledge of the costs and benefits associated with commensal interactions is necessary both for a better understanding of how ecological communities are structured and for determining conservation actions. We investigated the concomitant use of a burrow by a nesting seabird, the fairy prion ( Pachyptila turtur ), and a medium‐sized predatory reptile, the tuatara ( Sphenodon punctatus ). Arrival time of fairy prions at the burrow each night was found to be delayed by the presence of a tuatara at the burrow. Use of the burrow by tuatara almost halved the time fairy prions spent at the burrow with their chick. The effect of this cohabitation on each species can be expected to change over both space and time, i.e. with changes in population densities and season. Hence it is possible that in newly established colonies of birds with low numbers in the presence of tuatara, tuatara predation may have a deleterious impact.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 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".