Year 2020 reservoir methane and CO2 emissions as predicted by the g-res model
Bibliographic record
Abstract
This dataset accompanies the following publication: Harrison, J.A., Y.T. Prairie, S. Mercier-Blais, and C. Soued, (2021) Year-2020 Global Distribution and Pathways of Reservoir Methane and Carbon Dioxide Emissions According to the Greenhouse Gas from Reservoirs (G-res) Model, <em>Global Biogeochemical Cycles.</em> It includes year 2020 estimates of methane and CO<sub>2</sub> emissions from reservoirs on a per-reservoir surface area basis and on a per-one-degree by one-degree cell basis. Data are provided in tabular format for latitudinal distribution by flux pathway and in gridded ASCII format for total CH<sub>4</sub> plus CO<sub>2</sub> fluxes. Tabular GHG flux estimates by latitude include fluxes only from reservoirs in the G-res Database (Prairie et al., 2021) and must be multiplied by an "area correction factor" (1.47) to match values in Harrison et al. (2021). Flux estimates in the gridded datasets do not require such correction.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.298 | 0.001 |
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; both teacher heads agree on what is shown here.
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".