Leucophaeus pipixcan
Bibliographic record
Abstract
Leucophaeus pipixcan (VAG): breeds in inland North America from British Columbia to Alberta and from Montana to Minnesota. There are also sparse populations north of the Rocky Mountains to the Great Basin. It overwinters mainly on the Pacific coast of South America as far as Chile (Burger & Gochfeld,1996).It migrates through Mexico to the Pacific coast, where it arrives in late September to remain during boreal winter on the west coast of South America, along the coast of Ecuador to central Chile (Burger & Gochfeld, 1996; Dias et al., 2010a). In Brazil, Dias et al. (2010a) show records for Fernando de Noronha/PE, lower Japurá River/AM, south coast of SP, Trindade Island/Espírito Santo (ES), and multiple municipalities in RS. There are also documented records for Jacarecica, Maceió/AL (Leal et al., 2013), Cáceres/MT in the Pantanal (Kantek & Onuma, 2013) and Raposa/MA (Gonsioroski, 2014). Photographic records also show its presence in MA, BA, RJ and SC (WikiAves, 2016). There is also one specimen from AM that was collected in April, 2015 (MPEG 80618).
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 | 0.000 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.013 | 0.002 |
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".