RESEARCH NOTES: THE EFFECT OF REWARD BAND VALUE ON MID-CONTINENT MALLARD BAND REPORTING RATES
Bibliographic record
Abstract
Knowledge of annual waterfowl harvest rates is important to North American waterfowl population management. In particular, harvest rate is a critical parameter governing the relationship between population status and regulatory packages within the adaptive harvest management (AHM) framework by which the U.S. Fish and Wildlife Service (FWS) manages mallard populations (Williams and Johnson 1995, Johnson et al. 1997, Johnson 1999). Annually, in conjunction with many state and provincial agencies and the Canadian Wildlife Service (CWS), the FWS places bands on waterfowl to obtain information about their vital rates, especially survival and harvest. If all harvested banded birds were reported, harvest rates could be estimated directly by the proportion of banded birds that were recovered (the recovery rate). However, an adjustment to this calculation must be made because not all banded waterfowl that are har-
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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 teacher head, 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".