<scp>M</scp>apping Alberta's surface water resources for the period 1971–2000
Bibliographic record
Abstract
Abstract Although the sustainability and wealth of Alberta is closely linked to the quantity, quality, and management of its water resources, the province lacks watershed‐based inventories of its water supplies. The mean annual water yield for 287 gauged watersheds across Alberta was calculated for the period 1971–2000 by relating available streamflow records with the respective watershed areas. The percent contribution of each watershed relative to the outlet of each of the 16 major river basins located in Alberta was computed, which enabled the identification of the most important water‐producing regions. The integration of high‐resolution precipitation normal maps, available for the same period, enabled the calculation of mean annual runoff coefficients and the determination of mean annual regional water balances. These analyses resulted in important water resources baseline data, against which impacts of environmental and climate change can be compared. All data are available online in the form of spreadsheets and shapefiles.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".