Bibliographic record
Abstract
Other| January 01, 2010 New Mineral Names* Paula C. Piilonen; Paula C. Piilonen † Mineral Sciences Division, Canadian Museum of Nature, P.O. Box 3443, Station D, Ottawa, Ontario K1P 6P4, Canada †E-mail: ppiilonen@mus-nature.ca Search for other works by this author on: GSW Google Scholar Glenn Poirier Glenn Poirier Mineral Sciences Division, Canadian Museum of Nature, P.O. Box 3443, Station D, Ottawa, Ontario K1P 6P4, Canada Search for other works by this author on: GSW Google Scholar American Mineralogist (2010) 95 (1): 204–208. https://doi.org/10.2138/am.2010.553 Article history first online: 02 Mar 2017 Cite View This Citation Add to Citation Manager Share Icon Share Facebook Twitter LinkedIn Email Tools Icon Tools Get Permissions Search Site Citation Paula C. Piilonen, Glenn Poirier; New Mineral Names. American Mineralogist 2010;; 95 (1): 204–208. doi: https://doi.org/10.2138/am.2010.553 Download citation file: Ris (Zotero) Refmanager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search nav search search input Search input auto suggest search filter All ContentBy SocietyAmerican Mineralogist Search Advanced Search W.H. Parr, M.A. Cooper, F.C. Hawthorne, E. Moffat, M.E. Gunther, A.C. Roberts, and P.J. Dunn (2009) Braithwaiteite, NaCu5(TiSb)O2(AsO4)4[AsO3(OH)]2(H2O)8, a new mineral species from Laurani, Bolivia, Can. Mineral., 47, 947–953. F.C. Hawthorne, M.A. Cooper, and W.H. Parr (2008) The crystal structure of braithwaiteite. J. Coord. Chem., 61, 15–29. Braithwaiteite was discovered as several small crystals in a sample of silicified volcanic rock from Laurani in the Bolivian Ag-Sn belt. The exact origin of the sample could not be verified but it is strongly likely that... You do not currently have access to this article.
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 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) | 0.009 | 0.001 |
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 teacher head, 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".