Description of the explanatory variables used to predict the abundance of count of 5 species of dabbling ducks within a ∼ 11 km2 scale within the Prairie Pothole Region of the U.S. and Canada during 2002–2010.
Bibliographic record
Abstract
<p>These species included; blue-winged teal (Anas discors), gadwall (A. strepera), mallard (A. platyrhynchos), northern pintail (A. acuta), and northern shoveler (A. clypeata).</p><p>Footnote: data source abbreviations in order of appearance: National Wetlands Inventory (NWI); (CanVec); Ducks Unlimited Canada (DUC); United States Fish and Wildlife Service and Canadian Wildlife Service Breeding Population Survey (BPOP); National Aeronautics and Space Administration (NASA), Earth Observation Data Portal (EODP), Moderate Resolution Imaging Spectrometer (MODIS); Shuttle Radar Topography Mission (SRTM); National Landcover Dataset (NLCD), Agriculture Agri-Food Canada (AAFC). All data layers are available from <a href="https://www.sciencebase.gov/catalog/item/535fa1aae4b078dca33ae3ad?community=LC+MAP+-+Landscape+Conservation+Management+and+Analysis+Portal" target="_blank">https://www.sciencebase.gov/catalog/item/535fa1aae4b078dca33ae3ad?community=LC+MAP+-+Landscape+Conservation+Management+and+Analysis+Portal</a>.</p><p>Description of the explanatory variables used to predict the abundance of count of 5 species of dabbling ducks within a ∼ 11 km2 scale within the Prairie Pothole Region of the U.S. and Canada during 2002–2010.</p>
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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 | 0.000 | 0.001 |
| 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".