Long-Term Water Level Changes in Closed-Basin Lakes of the Canadian Prairies
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The semi-arid prairie region of Canada has many closed-basin lakes that are sensitive to climatic variability and change. Long-term water level changes in these lakes provide a measure of the dynamic balance between runoff and precipitation supplying water to the lakes and water loss from the lakes by evaporation. Historic lake water level data can help to improve understanding and prediction of the hydrologic effects of climate change and land-use changes. Water level data for sixteen closed-basin lakes in the Canadian prairies were compiled from a variety of sources and additional measurements were made at some locations. In the Canadian prairie region there is an overall pattern throughout most of the twentieth century of declining lake levels, although with notable exceptions. Possible causes of lake level changes are assessed briefly, but the main objective is to present a regional and long-term perspective on lake level records.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it