Plains CO<sub>2</sub> Reduction Partnership (Phase III Final Report)
Bibliographic record
Abstract
The Plains CO2 Reduction (PCOR) Partnership led by the Energy & Environmental Research Center (EERC) was formed as part of the Regional Carbon Sequestration Partnerships (RCSP) Program initiated by the U.S. Department of Energy (DOE) in 2003. The RCSP Program supports the deployment of carbon capture and storage (CCS) as an essential technology to mitigate greenhouse gas emissions, with emphasis on the geological storage of carbon dioxide (CO2). This report summarizes the results from Phase III of the PCOR Partnership (2007 to 2018), including large-scale field testing to confirm that projects of at least 1 million metric tons (Mt) of captured CO2 per year can achieve safe, permanent, and economical storage. The PCOR Partnership includes more than 120 member organizations from the public and private sector and covers a region that includes all or parts of nine U.S. states and four Canadian provinces. The overall mission of the Phase III program has been to 1) gather characterization data to verify the ability of the target formations to store CO2, 2) facilitate the development of the infrastructure required to transport CO2 from sources to injection sites, 3) facilitate sensible development of the rapidly evolving North American regulatory and permitting framework, 4) develop opportunities for PCOR Partnership partners to capture and store CO2, 5) facilitate the establishment of a technical framework by which carbon credits can be monetized for CO2 stored in geologic formations, 6) continue collaboration with other RCSPs, and 7) provide outreach and education for CCS stakeholders and the general public.
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 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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.048 | 0.018 |
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".