Solubility phenomena related to CO<sub>2</sub> capture and storage
Bibliographic record
Abstract
Capturing CO 2 emissions from energy production and storing it under the ground is a potential CO 2 mitigation strategy that currently receives much attention. Both CO 2 capture and CO 2 storage are solubility problems. This paper reviews some important solubility aspects of CO 2 capture and storage that are often overlooked. Until very recently, there was not a single CO 2 solubility relationship that was both applicable in a wide temperature range and thermodynamically consistent with the enthalpy of solution of CO 2 . Furthermore, very often the relationship used for the first acidity constant of carbonic acid as a function of temperature is inconsistent with the relationship used for the solubility constant (or Henry constant) of CO 2 . The removal of CO 2 from a gas stream with amine solutions is usually viewed as a chemical reaction, which leads to the practice of heating to remove the CO 2 from the solvent. However, viewing this process as a solubility phenomenon suggests the practice of using vacuum to remove the CO 2 from the solvent, a potentially more efficient approach.
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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 | 0.000 |
| 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".