Data for 'Thermal regimes of groundwater- and lake-fed headwater streams differ in their response to climate variability'
Bibliographic record
Abstract
This dataset contains seasonal and annual mean spot stream temperatures for the six groundwater-fed and seven lake-fed streams at the Turkey Lakes Watershed. We have also included seasonal and annual scale hydroclimatic variables (air temperature, solar radiation, discharge, precipitation, ice on/off dates, and April 1st SWE). The Turkey Lakes Watershed is approximately 65 km northwest of Sault Ste. Marie, Ontario, Canada. Manual spot stream temperature measurements were made by field technicians visiting the catchment outlets as part of a routine water quality monitoring program at the TLW. The stream temperature data record extends from 1983 through 2018. The stream temperature record for stream 013 is 1986-2018. Hydroclimatic data is also 1983-2018, with the exception of lake ice data which ended in 2015. See the methods section of the associated publication for more details.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.006 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.030 | 0.030 |
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".