Boreal beaver pond diffusive CO2 and CH4 emissions data from Abitibi and Saguenay [2010-2011]
Bibliographic record
Abstract
Beaver ponds were sampled between 2010 and 2011 in two different regions of Québec: Abitibi (48.07 – 48.94°N, 79.47 – 78.65°W) and Saguenay (47.79 – 48.77°N, 72.13 – 70.65°W). The data collected in the Saguenay region have been presented in DelSontro and others (2016), whereas the data collected in Abitibi have not been published, but the sampling methodology is common to both sets. In brief, sites were selected to cover the broadest diversity of ponds, with wide gradients of shape, size, type of flooded soils, and trophic status. Most of the sampled ponds had shallow depths between 1 and 3 m. In Abitibi, 41 beaver ponds were sampled during the ice-free season. A selection of these ponds was sampled at least four times, from May to November. In Saguenay, 10 ponds were sampled three times (June, July, and September).
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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 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 0.003 |
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".