An Extreme in Gull's Defense Behavior
Bibliographic record
Abstract
O.R. Station Reports 1.31 visitors bringing in food and supplies, and Gladys Cole/Chan at your right hand!Since I had no idea what I might get, every day was like a Christmas stocking.I ended up with 1049 individuals of 65 species, which includes 74 returns from previous years' irregular winter banding, and one foreign Painted Bunting (not yet verified).My net hours were 2712.Unusual records for this area were a Canada Warbler, a Bell's Vireo, a Philadelphia Vireo and two Wood Thrushes.My biggest day was 58 on Oct. 22, my smallest, 2 on Nov. 7. * l't *If you receive a particularly interesting foreign retrap or recovery report, please drop me a line.In many of the foreign banding publications, lists of these are published from time to time.I am referring in particular to good examples of reverse migration, direct recoveries and recoveries to areas not heretofore known as habitat for the species in question.In this way, other EBBA members can enjoy reading about them and learn from your recovery information, When submitting these items, please indicate species, age, sex, date banded, place banded, weight, fat class (for direct recoveries) and date and place recovered, and present status of the bird.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".