Petrogenesis and economic potential of rare-metal pegmatites in the North Virgin Mountains, Nevada–Arizona
Bibliographic record
Abstract
Research Article| September 30, 2019 Petrogenesis and economic potential of rare-metal pegmatites in the North Virgin Mountains, Nevada–Arizona Dalton McCaffrey; Dalton McCaffrey § Department of Geoscience, University of Nevada, Las Vegas, 4505 S Maryland Parkway, Las Vegas, Nevada 89194, USA § Corresponding author e-mail address: mccafd1@unlv.nevada.edu Search for other works by this author on: GSW Google Scholar Simon Jowitt Simon Jowitt Department of Geoscience, University of Nevada, Las Vegas, 4505 S Maryland Parkway, Las Vegas, Nevada 89194, USA Search for other works by this author on: GSW Google Scholar Author and Article Information Dalton McCaffrey § Department of Geoscience, University of Nevada, Las Vegas, 4505 S Maryland Parkway, Las Vegas, Nevada 89194, USA Simon Jowitt Department of Geoscience, University of Nevada, Las Vegas, 4505 S Maryland Parkway, Las Vegas, Nevada 89194, USA § Corresponding author e-mail address: mccafd1@unlv.nevada.edu Publisher: Mineralogical Association of Canada First Online: 07 Oct 2019 Online Issn: 1499-1276 Print Issn: 0008-4476 © 2019 Mineralogical Association of Canada The Canadian Mineralogist (2019) 57 (5): 767–769. https://doi.org/10.3749/canmin.AB00017 Article history First Online: 07 Oct 2019 Cite View This Citation Add to Citation Manager Share Icon Share Facebook Twitter LinkedIn MailTo Tools Icon Tools Get Permissions Search Site Citation Dalton McCaffrey, Simon Jowitt; Petrogenesis and economic potential of rare-metal pegmatites in the North Virgin Mountains, Nevada–Arizona. The Canadian Mineralogist 2019;; 57 (5): 767–769. doi: https://doi.org/10.3749/canmin.AB00017 Download citation file: Ris (Zotero) Refmanager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentBy SocietyThe Canadian Mineralogist Search Advanced Search The rare and critical metals (e.g., Li, Be, B, Cs) are vital to modern and evolving green technology, and are deemed important because of their irreplaceability, important end uses, and significant potential for supply restrictions as a result of social, political, technological, economic factors (Jowitt et al. 2018). Although many significant known resources exist for the majority of these metals, these resources are only exploited on a limited basis. Importantly, many of these resources are non-domestic, meaning the U.S. could be potentially at risk of import restrictions. Significant gaps also remain in our understanding of... You do not have access to this content, please speak to your institutional administrator if you feel you should have access.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".