Leucophaeus atricilla
Bibliographic record
Abstract
Leucophaeus atricilla (MGT): breeds in northern USA and southern Canada and migrates to South America. It overwinters from Mexico to southern Peru on the Pacific coast and from North Carolina to Brazil on the Atlantic coast (Burger et al., 2016). In Brazil, it occurs from the mouth of the Amazon River to the bay of São Marcos/ MA (Antas, 1987) Although its typical distribution on the Brazilian coast is in AP, PA and MA, there are also records for AM, CE, RJ, SP (Lima et al., 2010) and Trindade Island (Dias et al., 2010a). In the Amazonian region, records are for AP from August to April and for PA from September to July (Valente, 2011; Xavier & Boss, 2011; WikiAves, 2016; MPEG). In the Northeast region, it occurs in MA in almost every month of the year (Rodrigues & Carvalho, 2011b; WikiAves, 2016) and in CE,PI, RN and BA from September to May (Albano & Girão, 2011; Girão & Albano, 2011a, b; WikiAves, 2016), but there are also records of what probably are juveniles for CE and RN in July (WikiAves, 2016). For RJ and SP, there are few records in January, April and November (WikiAves, 2016) and for RS, the species was recorded in January and July (Sick, 1997; WikiAves, 2016).
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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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.007 | 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".