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 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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.009 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.017 | 0.012 |
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".