Characterization of historical and stochastically generated climate and streamflow conditions in the Souris River Basin, United States and Canada
Bibliographic record
Abstract
This report was prepared in cooperation with the North Dakota State Water Commission and International Joint Commission for the International Souris River Plan of Study.This project was part of a much bigger effort to investigate river operations on the International Souris River and required a considerable amount of collaboration between the Canadian Provinces of Saskatchewan and Manitoba, U.S. Federal Government, State agencies, municipalities, and private interest groups.The decision to complete certain analysis provided in this report was based on the focus areas that were decided upon by the International Souris River Study Board.Many thanks are owed to Brett Hultgren (U.S. Army Corps of Engineers), Christopher Korkowski (North Dakota State Water Commission), Chanel Mueller (U.S. Army Corps of Engineers), and Mitchell Weier (U.S. Army Corps of Engineers) for their technical insight on Souris River streamflow and reservoir operations.We would like to thank Sara
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".