Calidris melanotos
Bibliographic record
Abstract
Calidris melanotos (MGT): breeds on the northern coast of North America, from western and northern Alaska to northern central Canada, to Hudson Bay, as well as in northwestern Siberia. It migrates south during winter and reaches from southern Bolivia, Paraguay and northern Argentina to southern South America and southeastern Australia and New Zealand (van Gils & Wiersma, 1996). Its migration seems to be elliptic because it moves south over the western Atlantic Ocean and returns through central regions of North America. Its wintering area includes the entire Pantanal (Nunes & Tomas, 2008) and the area south of it, which makes this the second most numerous Nearctic shorebird species in a census taken in these plains (Morrison et al., 2008). There are photographic records for almost all of Brazil, but records for the northeastern region are quite scarce and restricted to September, October and February. Records in the Amazonian region are restricted to the period between August and December and those in the southeastern and southern regions are distributed from September to April (WikiAves, 2016). Museum records are distributed irregularly across several states but restricted to the period between August and November (MZUSP; MNRJ, MPEG).
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 | 0.000 |
| 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) | 0.007 | 0.001 |
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".