Bibliographic record
Abstract
ABSTRACT Scavenging by seabirds at marine mammal carcasses on the open sea is a poorly documented phenomenon, especially among the smaller species of procellariiformes. During a pelagic survey in the Galápagos, I recorded at least fifty Elliot's storm‐petrels ( Oceanites gracilis ) foraging at a large piece of drifting blubber. Individuals pattered at the sea surface to pick up oil droplets, a foraging mode consistent with storm‐petrel ecology yet rarely documented in the context of mammal carcasses. Reports in other species emphasize consumption of blubber or tissue, but this observation suggests that small‐bodied seabirds may instead exploit the more metabolically efficient liquid fraction. This observation raises questions regarding the nutritional role played by opportunistic scavenging in storm‐petrels and the possible sensory cues facilitating such aggregations. Furthermore, it exemplifies the importance of natural history observations in documenting infrequent but ecologically significant interactions.
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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 | 0.001 | 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) | 0.006 | 0.001 |
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".