Bibliographic record
Abstract
Aquistore is a new Carbon Capture and Storage demonstration project associated with SaskPower's Boundary Dam Integrated Carbon Capture and Storage Project in southeastern Saskatchewan, Canada. Up to 1000 tonnes/day of carbon dioxide will be injected, starting in March 2015, into a permeable sandstone interval approximately 150m thick using a newly-drilled 3400m deep injection well and monitored, in part, using a new 3400m deep instrumented observation well that is 150m away from the injection well. Aquistore will provide ‘slipstream’ CO2 injection between the commercial scale capture plant and active CO2-EOR operations contracted to use the majority of the captured CO2 from the coal-fired power plant. An extensive geological, geophysical, petrophysical, hydrogeological, and geochemical characterization program was undertaken using both pre-existing and newly-acquired data at this site. Characterization efforts were undertaken prior to, then during the drilling of the deep injection and monitoring wells, and afterwards. Data have been collected on both the surface and subsurface conditions at the site and surrounding area. Results were assembled into several geological models that were used to support planning and permitting of the project: to determine the geological integrity of the site; to provide background data for scientific and Risk Assessment studies; and for baseline measurements for Measurement, Monitoring, and Verification of CO2 storage. All of the integrated characterization work at the site thus far indicates strongly favorable conditions for geological CO2 storage in the subsurface at Aquistore.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".