Falco peregrinus
Bibliographic record
Abstract
Falco peregrinus (MGT): occurs in all regions of the world and is migratory in only part of its distribution. In Brazil, it occurs as a migrant (White et al., 1994) originating from breeding areas in the Northern Hemisphere. Individuals banded in the USA, Canada and on the islands of Saint Pierre and Miquelon on the Canadian coast mainly between April and October were recovered in 16 Brazilian states between November and March, especially SP, PR and RS (Mestre et al., 2010). This species can be seen along the Amazon River and its main tributaries during the boreal winter from October to May (Stotz et al., 1992; Costa et al., 2011; Melo et al., 2011) and in PA in October, November (Silva, 2011c; MPEG) and March (Silva, 2011b). It was recorded in northern Cantão State Park/TO in April, when it was probably returning to the Nearctic region for the start of the next breeding season, using the Araguaia River channel as flyway (Pinheiro & Dornas, 2009; Dornas & Pinheiro, 2011). There are also records in November for the region of Banco dos Cajuais/CE-RN (Girão & Albano, 2011a), for CE from October to May, for RN and SE from November to March (Sousa, 2011; WikiAves, 2016), in BA from December and January (MZUSP) and for RJ, SP, PR, SC and RS from October to April (Belton, 1984; WikiAves, 2016; MNRJ; MZUSP).
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| 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) | 0.017 | 0.004 |
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".