Calidris canutus
Bibliographic record
Abstract
Calidris canutus (MGT): breeds in the Canadian Arctic. It gathers in great numbers in Delaware Bay, USA and migrates southwards, reaching the Brazilian coast, as well as Tierra del Fuego and Patagonia, where it stays during the non-breeding season. Some individuals may overwinter in French Guiana or Venezuela (van Gils & Wiersma, 1996; Baker et al., 2005). After leaving the breeding area, the species flies south crossing over or stopping in the mid-Atlantic coast of the USA and on the Antilles, before reaching Brazil. One individual with a geolocator overwintered on the northern coast of Brazil, on the border between MA and PA. Another went south through MA and overwintered around 1,100 km east, and a third one stopped in MA for 12 days and then stopped again at Lagoa dos Patos/RS and went on to overwinter in Argentina. The return flight of this last individual was through the Pantanal (Niles et al., 2010). Population peaks are recorded in the Gulf of Maranhão: a large number of individuals arrive during fall migration from September to November (Carvalho & Rodrigues, 2011) and during spring migration from March to May, which suggests transoceanic flights from the coast of MA to North America (Rodrigues, 2000). In RS, over 20,000 individuals were seen using the Lagoa do Peixe National Park and the Pinhal region as stopover grounds during their migration north. Banding data suggests that the flight between the southern coast of Brazil and Midwestern USA is a direct one (Harrington et al., 1986) that lasts approximately 13 days – 7,600 km (Sick, 1997). Ilha Comprida/SP is also a stopover site used for resting and feeding during the return migration (Barbieri & Paes, 2008), as well as the mangroves from Mangue Seco/BA, where the species was recorded in mid-April (Lima, 2006). There are recent photographic records for almost all coastal states and they are centered on the period between September and April (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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 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".