Peatlands and Global Carbon Cycle Modeling: Peatland Ecosystem Analysis and Training Network (PeatNet) Workshop; Durham, New Hampshire, 14–15 May 2009
Bibliographic record
Abstract
Peatlands cover 3–5% of the global land surface, contain about 20% of all terrestrial organic carbon, and contribute significantly to total biogenic methane emissions to the atmosphere. More than one third of northern peatlands contain permafrost. Northern peatlands are likely to experience the consequences of climate warming earlier, more rapidly, and to a greater degree than many of the Earth's other major ecosystems. To map out how peatlands could be incorporated into global‐scale coupled climate‐carbon models and to determine what research and model development would be needed to overcome major obstacles, 17 scientists with expertise in peatland ecology, biogeochemistry and vegetation modeling, and global‐scale coupled climate‐carbon modeling participated in a workshop organized by the U.S. National Science Foundationsponsored PeatNet (http://www.peatnet.siu.edu/).
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".