Correction to: Seasonal and circadian patterns of herring gull (<i>Larus smithsoniansus</i>) movements reveal temporal shifts in industry and coastal island interaction
Bibliographic record
Abstract
Gutowsky, S. E., Baak, J. E., Craik, S. R., Mallory, M. L., Knutson, N., d'Entremont, A. A., & Allard, K. A. (2023). Seasonal and circadian patterns of herring gull (Larus smithsoniansus) movements reveal temporal shifts in industry and coastal island interaction. Ecological Solutions and Evidence, 4, e12274. https://doi.org/10.1002/2688-8319.12274 In this paper, the country name in the affiliations was shown incorrectly as the USA. The correct affiliations appear below. S. E. Gutowsky1 | J. E. Baak2 | S. R. Craik3 | M. L. Mallory1 | N. Knutson4 | A. A. d'Entremont5 | K. A. Allard6 1Department of Biology, Acadia University, Wolfville, Nova Scotia, Canada; 2Department of Natural Resource Sciences, McGill University, Montreal, Quebec, Canada; 3Département des sciences, Université Sainte-Anne, Pointe-de-l'Église, Nova Scotia, Canada; 4Mersey Tobeatic Research Institute, Kempt, Nova Scotia, Canada; 5Independent Contractor, Middle West Pubnico, Nova Scotia, Canada and 6Canadian Wildlife Service, Environment and Climate Change Canada, Sackville, New Brunswick, Canada
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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 | 0.005 | 0.099 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.004 | 0.004 |
| Research integrity | 0.006 | 0.009 |
| Insufficient payload (model declined to judge) | 0.159 | 0.075 |
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".