Time series of water temperature, dissolved oxygen, conductivity, chlorophyll a, fluorescence and irradiance (PAR) in Ward Hunt Lake, High Arctic, Nunavut, Canada
Bibliographic record
Abstract
Long-term monitoring of lakes and fjords on the northern coast of Ellesmere Island, Nunavut, provides information on the effects of climate change on these ecosystems and their seasonal and interannual dynamics. A 2-year, high-frequency record was obtained with a mooring installed in the deepest point of Ward Hunt Lake. This mooring installed in the deepest section of Ward Hunt Lake (Ward Hunt Island) allowed comparison of the seasonal dynamics of water temperature, chlorophyll fluorescence and dissolved oxygen concentrations between a year where the ice cover completely disappeared (2016) and years where it remained (2017-2019). This dataset is a contribution to the NEIGE program (Northern Ellesmere Island in the Global Environment).
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.019 | 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".