Model of potential multiphase methane evolution in the subsurface of Southern Ontario across a wide range of initial gas contents
Bibliographic record
Abstract
Numerical modeling was performed to analyze the impacts of potential multiphase conditions on long-term subsurface pressure evolution in subsurface systems. An example site on the Bruce Peninsula in Southern Ontario, Canada was selected due to the large amount of available, high-quality data showing significantly underpressured water and the possible presence of gas phase methane. The system was represented by a 1-D model in which multiphase flow and hydromechanical coupling during the last glacial loading and unloading cycle were simulated. Single-phase flow simulations were performed with the USGS single-phase flow simulator SUTRA, and then both single- and multiphase simulations were performed with the multiphase simulator iTOUGH2-EOS7C from Lawrence Berkeley National Laboratory. This model archive data release contains all the input and output files for the simulations and is intended to accompany an article in the Journal of Geophysical Research: Solid Earth. Descriptions of the data in each subdirectory are given to facilitate understanding of this model archive. File descriptions are provided for select files to provide additional information for understanding this model archive. Support is provided for correcting errors in the data release and clarification of the modeling conducted by the U.S. Geological Survey. Users are encouraged to review the complete journal article to understand the purpose, documentation report construction, and limitations of this model.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.007 | 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; 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".