Application Status of Post-combustion CO2 Capture
Bibliographic record
Abstract
Carbon dioxide (CO2) is a major anthropogenic greenhouse gas. The atmospheric concentration of CO2 has increased from 280 ppm, in the mid-1800s, to about 407 ppm in 2017. Due to the global warming and climate change effect there have been worldwide efforts to control CO2 emission. Pre-combustion capture, post-combustion capture, oxy-fuel combustion, and chemical looping combustion are the technological options currently under consideration for capturing CO2 from combustion and gasification facilities. Carbon capture and storage (CCS) has been accepted as a primary option to mitigate anthropogenic CO2 emissions. There are few large-scale CCS facilities in operation at present: (i) Petra Nova Carbon Capture, Texas, USA; (ii) SaskPower Boundary Dam- CCS; (iii) Kemper County Energy Facility (IGCC + CCS); and (iv) Callide – Oxy-fuel combustion and carbon storage demonstration plant. Furthermore, there have been some emerging small-scale PCC projects, most of which use ammonia or proprietary amines as a solvent.
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 | 0.000 | 0.000 |
| Research integrity | 0.001 | 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 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".