Regional variability of methane fluxes in the permafrost landscape of the Mackenzie River Delta, Canada derived from airborne measurements
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Wetlands are the dominant natural source of methane \nrelease on a global scale. Estimates about the contribution \nof Arctic permafrost wetlands to the emission are still \nuncertain and need further assessment. A reason for that \nvariability is the heterogeneity of the Arctic permafrost \nlandscapes. They extend over large areas and are characterised \nby temporally and spatially varying environmental \nproperties like land cover, surface temperature or soil \nwater content. With chamber and tower measurements, \nexchange processes of matter fluxes have been determined \nfor decades and have contributed to our understanding of \nthe underlying processes. These results give an idea about \npossible changes in the future related to changing climatic \nconditions. For conclusions on a regional scale, however, \nthese measurements cannot represent the true spatial variability \nof these fluxes, due to their local quality. Regional \ninformation about the fluxes, especially methane fluxes, \nis indispensable for assessing and predicting the climatic \nimportance of the Arctic permafrost regions. To overcome \nthis spatial limitation we use airborne measurements. \nDuring the Airborne Measurements of Methane Fluxes (AIRMETH) \ncampaigns we conducted low level flights across the \nMackenzie River Delta in Canada in the summers of 2012 \nand 2013. With statistical methods, the measured methane \nfluxes are related to relevant spatio-temporal meteorological \ninformation and surface properties derived from remote \nsensing products. Here we will show first results of the \nspatial variation of methane fluxes in the Mackenzie River \nDelta in 2013.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 it