Technoeconomic Potential for Carbon Mineralization with Enhanced Recovery of Critical Minerals in the Pacific Northwest
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
High Resolution Image Download MS PowerPoint Slide Commitments to limit the effects of global climate change require the implementation of renewable energy, along with a significant reduction of CO 2 emissions. To facilitate this transition, the active removal of atmospheric CO 2 by the development and deployment of new carbon management infrastructure and technologies is needed. Additionally, the world is projected to require an unprecedented amount of critical minerals, yet current high-grade ore supplies and existing mining technologies are unable to meet this demand. This study analyzes the feasibility of a novel CO 2 mineralization and enhanced mineral recovery (CO 2 -EMR) technology designed to target low-grade, historically uneconomical resources for in situ mining. The Josephine Ophiolite in Northern California and Twin Sisters Dunite in Northwest Washington are promising ultramafic reservoirs for implementing this new mining technology. Ultramafic, olivine-rich rocks from these two sites were characterized pre- and postreaction with CO 2, with both samples showing rapid carbonation in the form of magnesite. Furthermore, the fluid sampled shows a high recovery of nickel, a designated critical mineral. These experimental findings were then implemented in a technoeconomic analysis to assess the viability of field-scale implementation of this technology in the Pacific Northwest and beyond.
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.
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 it