Time series of ground deformation for the Aquistore CO2 storage site located in southeastern Saskatchewan and computed from five beams of Radarsat-2 data combined using the MSBAS methodology
Bibliographic record
Abstract
The objectives of the Aquistore CO storage project are to design, adapt, and test non-seismic monitoring 2 methods that have not been systematically utilized to date for monitoring CO storage, and to integrate 2 the data from these various monitoring tools to obtain quantitative estimates of the change in subsurface fluid distributions, pressure changes and associated surface deformation. Since spring of 2012 RADARSAT-2 data from five beams (ascending and descending Spotlight, Wide UltraFine and Fine Quad-Pol) were regularly (with the individual frequency of 24 days) collected and used for calculation of ground deformation time series over the Aquistore CO storage site located in SE Saskatchewan. The 2 initial InSAR analysis (Samsonov et al., 2012) revealed slow ground deformation not related to CO2 injection but caused by various natural and anthropogenic processes - snow melt, surface moisture variation, ground and surface water level changes and post-mining activities. In this work we provide updated results based on over one hundred RADARSAT-2 images acquired during May 2012-May 2013.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| 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) | 0.001 | 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 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".