Cold Regions Hydrology and Water Management: Bridging the Gap: Prediction of Water Resources in Mountain and Northern Canada: What is Needed, What Can be Done—An IP3 Users/Stakeholders Community Workshop; Canmore, Alberta, Canada, 18–19 March 2008
Bibliographic record
Abstract
Improved Processes and Parameterisation for Prediction in Cold Regions (IP3) is a research network funded by the Canadian Foundation for Climate and Atmospheric Sciences (http://www.usask.ca/ip3). With more than 80 members across Canada, the United States, and Europe, IP3 is devoted to the study and prediction of surface water, weather, and climate systems in cold regions, particularly Canada's Rocky Mountains and western Arctic. IP3 contributes to better understanding of ungauged basin streamflow, snow and water supplies, Arctic Ocean freshwater inputs, and sustainable management of mountain and northern water resources. These issues are important to agriculture, recreation, industrial development, regional planning, policy making, streamflow forecasting, and environmental conservation in the Canadian Rockies, prairies, and north.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".