Limosa haemastica
Bibliographic record
Abstract
Limosa haemastica (MGT): after breeding in the Arctic, a large part of its population gathers along Hudson Bay and James Bay in Canada between late July and mid-August (van Gils & Wiersma, 1996). The species crosses the Atlantic and reaches northern South America, including the Amazon Basin, at the Sustainable Development Reserves of Mamirauá (Melo et al., 2011), Amanã (Santos et al., 2011) and Piagaçu-Purus (Cintra et al., 2011), Anavilhanas National Park (Cintra & Rosas, 2011), Alto Guaporé region (d'Horta, 2011) and the Pantanal (Poconé/ MT; Cintra, 2011) between September and November. From October to April, the species reaches southern Brazil in SP, PR, SC and RS (Vallejos et al., 2011; Krul et al., 2011; Ferreira et al., 2011; Fedrizzi & Carlos, 2011; Dias, 2011; Barbieri, 2011; MZUSP), in addition to Uruguay and Argentina. Over 1,000 individuals use the Lagoa do Peixe National Park as a stopover site during migration (Belton, 1994; Nascimento, 2011), but their main wintering areas are in extreme southern South America, Tierra del Fuego and southern central Chile.The young appear to depart after the adults, and the return to the north from April onwards is completed with use of little or no (Harrington et al., 1986) stopover sites (van Gils & Wiersma, 1996).
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.013 | 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".