Cathodoluminescence (CL) microscopy – a technique for understanding the dynamics of pegmatite crystallization
Bibliographic record
Abstract
Research Article| September 30, 2019 Cathodoluminescence (CL) microscopy – a technique for understanding the dynamics of pegmatite crystallization Michael A. Wise; Michael A. Wise § Department of Mineral Sciences, Smithsonian Institution, Washington, D.C., 20013, USA § Corresponding author e-mail address: wisem@si.edu Search for other works by this author on: GSW Google Scholar Cathleen D. Brown Cathleen D. Brown Department of Mineral Sciences, Smithsonian Institution, Washington, D.C., 20013, USA Search for other works by this author on: GSW Google Scholar Author and Article Information Michael A. Wise § Department of Mineral Sciences, Smithsonian Institution, Washington, D.C., 20013, USA Cathleen D. Brown Department of Mineral Sciences, Smithsonian Institution, Washington, D.C., 20013, USA § Corresponding author e-mail address: wisem@si.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): 821–823. https://doi.org/10.3749/canmin.AB00030 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 Michael A. Wise, Cathleen D. Brown; Cathodoluminescence (CL) microscopy – a technique for understanding the dynamics of pegmatite crystallization. The Canadian Mineralogist 2019;; 57 (5): 821–823. doi: https://doi.org/10.3749/canmin.AB00030 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 Cathodoluminescence (CL) microscopy is a technique commonly applied to the study of sedimentary and metamorphic rocks, but over the past several decades, has also proven valuable in advancing the understanding of the dynamics of crystallization, cooling histories and post-magmatic alteration in igneous rocks (Finch & Walker 1991, Finch & Klein 1999, Müller et al. 2003). Cathodoluminescence microscopy allows for features to be seen that are invisible by optical microscopy and back-scattered electron imaging (Fig. 1). The technique aids in the identification of minerals and can reveal textures that result from mineral-fluid interaction. One... 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 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.003 |
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".