1 Preprint submitted to Nature Precedings Hydrologic and climate trends for the Coldwater River watershed
Bibliographic record
Abstract
Alterations in the timing and magnitude of streamflows from western North American hydrologic systems have been broadly reported in the literature [1-23]. However, there is a substantial amount of heterogeneity in the streamflow trends between different sites and over varying portions of the hydrologic record at each site, necessitating ongoing research efforts to better understand the relative impacts of natural and anthropogenic hydrometric drivers. No previous dedicated studies appear to have investigated temporal trends and patterns in climate and hydrology for the Coldwater River watershed (Figure 1) of south-central British Columbia, Canada, despite the known importance of this hydrologic system for fish habitat [24-27]. In particular, there are concerns in this region regarding late summer through autumn low flows, and the negative impacts such low flows can have on fish populations via the exposure of physical barriers to fish movement in the stream channel, in
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How this classification was reachedexpand
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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 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 teacher head, 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".