A multi-year hydrological data set for two research basins in the Mackenzie Delta region, NW Canada
Bibliographic record
Abstract
There have been few, if any, studies of the water cycle in the vicinity of the treeline in northern Canada. Such data are required for circumpolar comparisons, for testing hydrological data, and, if the data available cover a sufficient length of time, for considering climate variability/change. In order to address these issues, this paper will present a 9-year data set for two research basins located in the boreal forest/tundra transition zone near Inuvik, NWT. On an annual basis, these data present the best estimate to date of the magnitude and relative importance of all water balance components, and these data have illustrated large inter-annual variability. However, given the short term covered by these data, it is not surprising that there is little evidence of a trend. The exception is a trend toward earlier spring melt, a longer runoff season, and a deeper active layer. These changes are in response to changes in temperature in the study area, as reported earlier.
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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 | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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 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".