Ice-wedge transect thaw depths during 2017 and 2018 thaw seasons, Fosheim Peninsula, Ellesmere Island, Nunavut, Canada
Bibliographic record
Abstract
Thaw depths (cm) were collected using a 1 m permafrost probe weekly to biweekly for transects of 7 ice-wedge troughs (IW1 - IW7) and 2 polygon centres (P1 and P2) between 3 July, 2017 and 16 August, 2017 and 6 July, 2018 to 21 July, 2018 in a high-centred polygon system. Probing followed the same survey markers, spaced 1 m apart each time data was collected. Ice-wedge troughs represented varying morphologies and dimensions are as followed: IW1 was 2.00 m wide and 0.25 m deep, IW2 was 6.00 m wide and 0.82 m deep, IW3 was 11.00 m wide and 1.00 m deep, IW4 was 9.00 m wide and 0.85 m deep, IW5 9.00 m and 0.57 m deep, IW6 was 6.00 m wide and 0.42 m deep and finally, IW7 was 6.00 m wide and 0.37 m deep. P1 was the centre of a polygon with an area of 270 m^2, P2 was 266 m^2. Note that P1, P2, IW1, IW2, IW3 was set up initially on 3 July, 2017 and was collected as a single continuous transect (included in the same table). IW4, IW5, IW6 and IW7 were added the following week on 13 July, 2017. Please refer to Ward Jones et al. (in review) for more details on this study.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".