Ground temperatures for Eastern Baffin Island, Canada (2018-2019)
Bibliographic record
Abstract
Rapid warming of the Arctic is promoting an expansion of shrubs and consequently, a greener land surface. This greening of the Arctic land surface may cause many feedbacks, including a potential acceleration of carbon release through permafrost thaw. Permafrost thaw is triggered by warmer ground temperatures that can occur when expanding shrubs trap snow which acts as a blanket and insulates the ground surface from cold air. We collected this dataset of 10 centimeter (cm) ground temperatures at 22 study locations throughout eastern Baffin Island, Canada to better understand the relationship between a greener Arctic land surface and warming ground temperatures. Temperatures were collected from approximately 2018-07-21 to 2019-08-21 at hourly or every four-hour intervals with Thermochron iButtons (DS1925L or DS1922L, Maxim Integrated Products, accuracy ±0.0625°Celsius (C) or ±0.5°C, respectively, from −40°C to +85°C).
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.003 |
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; both teacher heads agree on what is shown here.
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".