Long-Billed Curlew (<i>Numenius americanus</i>) Rangewide Survey and Monitoring Guidelines
Bibliographic record
Abstract
LBCUs are a species of special concern throughout much of their breeding range in North America, with both the U.S. and Canadian Shorebird Plans listing them as “Highly Imperiled” (Brown et al. 2001). LBCUs are also listed in the U.S. as a Bird of Conservation Concern, at the National level, within FWS Regions 1, 2, 4 and 6, and for many Bird Conservation Regions (U.S. Fish and Wildlife Service 2002). This level of concern is due to apparent population declines, particularly in the shortgrass and mixed-grass prairie of the western Great Plains (Brown et al. 2001). Threats include habitat loss and fragmentation due to agricultural conversion (cropland and tame pasture), encroachment of woody vegetation, and urban development. For details on LBCU ecology, management, and conservation, refer to Dugger and Dugger (2002).
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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 | 0.002 | 0.003 |
| 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 | 0.001 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.050 | 0.023 |
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".