Greenhouse gas emissions from thawing permafrost in Polar Bear Provincial Park
Bibliographic record
Abstract
Kirkwood, A. Roy-Léveillée, P., Basiliko, N., McLaughlin, J. (2018) Greenhouse gas emissions from thawing permafrost in Polar Bear Provincial Park - ᑲᑎᑭᑌᐠ ᐱᑐᐡ ᑲᑎᑭᐠ ᐁ ᐃᔑ ᑭᔑᑲᐠ. Mushkegowuk Climate Summit 2018, January 24-25, 2018, Timmins, ON. doi:10.6084/m9.figshare.5852010 This poster in Cree and English was presented at a climate summit organized by the Mushkegowuk Council (http://www.mushkegowuk.com/) in January 2018. The Hudson Bay Lowlands (HBL) along the western coast of Hudson Bay is the world’s second largest permafrost peatland complex. Regardless of its relatively low latitude, sea-ice dynamics in Hudson Bay provide the HBL with a sub-arctic climate, allowing for continuous and discontinuous permafrost to be present at lower than normal latitudes. Recently, changing sea-ice dynamics have put the area at high risk for rapid warming, and therefore rapid degradation of permafrost. This poster presents preliminary results concerning the microbial production of CH4 and CO2 during incubations of peat and permafrost samples at two different temperatures.
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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 | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".