GROUP 4: HIGHLY MIGRATORY FISHES, SEABIRDS AND MARINE MAMMALS Seabirds reflect changes in ocean climate
Bibliographic record
Abstract
Seabirds spend most of their lives on the ocean but come to shore to raise their young. Most seabirds breed on island colonies. When birds are on the colony it is relatively easy for scientists to obtain rigorous quantitative information on their diet, reproduction and survival. The response of seabirds to variation in ocean climate will likely reflect species-specific traits that include body size, cost of foraging, potential foraging range, ability to dive, amount of ‘spare ’ time in the daily budget, and ability to switch diet (Furness and Tasker 2000). The following example outlines some research on Triangle Island, British Columbia, Canada, examining time-series data on breeding seabirds during a period of extreme variation in ocean temperatures. is a 550 g piscivorous, burrow-nesting species that only visits the colony at night. Nestlings are cared for from 45-60 d until fledging. The Tufted Puffin is a 750 g, piscivorous, burrow nester which visits the colony at multiple times throughout the day. Nestlings fledge at 40-50 d. The breeding population for Triangle Island is estimated to be
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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 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.013 | 0.003 |
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".