Topical Report on Results of Plains CO<sub>2</sub> (PCOR) Partnership Phase II
Bibliographic record
Abstract
The Plains CO2 Reduction (PCOR) Partnership is one of seven Regional Carbon Sequestration Partnerships (RCSPs) competitively awarded by the U.S. Department of Energy (DOE) National Energy Technology Laboratory in 2003 as part of a national plan to mitigate greenhouse gas emissions. The PCOR Partnership is led by the Energy & Environmental Research Center at the University of North Dakota in Grand Forks, North Dakota, and includes more than 80 stakeholders from the public and private sector. The PCOR Partnership region includes all or parts of nine U.S. states and four Canadian provinces. Phase II, the validation phase, was an extension of the characterization phase (Phase I, 2003–2005) of the program and covered the period from 2005 through 2009. Phase II activities focused on carbon storage field validation projects that were designed to develop the local technical expertise and experience needed to facilitate future large-scale carbon dioxide storage efforts in the region’s subsurface and terrestrial settings. These activities included four field validation tests (three geologic and one terrestrial) along with continued refinement of the regional characterization of sequestration opportunities, elucidation and clarification of the regulatory and permitting requirements for sequestration as well as the identification of commercially available carbon dioxide capture technologies, integration of the regional efforts with the other DOE RCSPs, and continuation of local and regional public outreach initiatives. Results of the Phase II activities indicated that the PCOR Partnership region has tremendous opportunities for carbon sequestration in geologic and terrestrial settings. Total funding for Phase II exceeded $29 million, with 56% of that funding provided by DOE and the balance contributed by industry and other nonfederal partners. This report documents and summarizes all work performed over the course of the Phase II effort and presents the findings, recommendations, and conclusions of this work.
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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 | 0.011 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.037 | 0.015 |
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".