MétaCan
Menu
Back to cohort
Record W2013937395 · doi:10.2138/rmg.2007.67.4

Long-Range Order in Amphiboles

2007· article· en· W2013937395 on OpenAlexaffabout
Roberta Oberti, F. C. Hawthorne, E. Cannillo, Fernando Cámara

Bibliographic record

VenueReviews in Mineralogy and Geochemistry · 2007
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicHigh-pressure geophysics and materials
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsCrystal (programming language)HumanitiesArtArt history

Abstract

fetched live from OpenAlex

Research Article| October 01, 2007 Long-Range Order in Amphiboles Roberta Oberti; Roberta Oberti 1Istituto di Geoscienze e Georisorse, Consiglio Nazionale delle Ricerche I-27100 Pavia, Italy, oberti@crystal.unipv.it, cannillo@crystal.unipv.it, camara@crystal.unipv.it Search for other works by this author on: GSW Google Scholar Frank C. Hawthorne; Frank C. Hawthorne 2Department of Geological Sciences, University of Manitoba, Winnipeg, Manitoba R3T 2N2, Canada, frank_hawthorne@umanitoba.ca Search for other works by this author on: GSW Google Scholar Elio Cannillo; Elio Cannillo 1Istituto di Geoscienze e Georisorse, Consiglio Nazionale delle Ricerche I-27100 Pavia, Italy, oberti@crystal.unipv.it, cannillo@crystal.unipv.it, camara@crystal.unipv.it Search for other works by this author on: GSW Google Scholar Fernando Cámara Fernando Cámara 1Istituto di Geoscienze e Georisorse, Consiglio Nazionale delle Ricerche I-27100 Pavia, Italy, oberti@crystal.unipv.it, cannillo@crystal.unipv.it, camara@crystal.unipv.it Search for other works by this author on: GSW Google Scholar Author and Article Information Roberta Oberti 1Istituto di Geoscienze e Georisorse, Consiglio Nazionale delle Ricerche I-27100 Pavia, Italy, oberti@crystal.unipv.it, cannillo@crystal.unipv.it, camara@crystal.unipv.it Frank C. Hawthorne 2Department of Geological Sciences, University of Manitoba, Winnipeg, Manitoba R3T 2N2, Canada, frank_hawthorne@umanitoba.ca Elio Cannillo 1Istituto di Geoscienze e Georisorse, Consiglio Nazionale delle Ricerche I-27100 Pavia, Italy, oberti@crystal.unipv.it, cannillo@crystal.unipv.it, camara@crystal.unipv.it Fernando Cámara 1Istituto di Geoscienze e Georisorse, Consiglio Nazionale delle Ricerche I-27100 Pavia, Italy, oberti@crystal.unipv.it, cannillo@crystal.unipv.it, camara@crystal.unipv.it Publisher: Mineralogical Society of America First Online: 09 Mar 2017 © The Mineralogical Society Of America Reviews in Mineralogy and Geochemistry (2007) 67 (1): 125–171. https://doi.org/10.2138/rmg.2007.67.4 Article history First Online: 09 Mar 2017 Cite View This Citation Add to Citation Manager Share Icon Share Facebook Twitter LinkedIn Email Permissions Search Site Citation Roberta Oberti, Frank C. Hawthorne, Elio Cannillo, Fernando Cámara; Long-Range Order in Amphiboles. Reviews in Mineralogy and Geochemistry 2007;; 67 (1): 125–171. doi: https://doi.org/10.2138/rmg.2007.67.4 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 SocietyReviews in Mineralogy and Geochemistry Search Advanced Search Comprehensive knowledge of the order-disorder relations in amphiboles is essential to (1) complete understanding of the crystal chemistry of these minerals, and to (2) the use of amphiboles in thermodynamic calculations (e.g., of temperature and pressure of equilibration) where accurate activity models are critical to the accuracy of such treatments. Moreover, such information is essential to our understanding of phase relations, optical and electrical properties and dehydrogenation mechanisms. As a result, more effort has been expended on characterizing site occupancies in amphiboles than in any other group of minerals. Hawthorne (1983a,b) reviewed in detail all work prior... You do not have access to this content, please speak to your institutional administrator if you feel you should have access.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.044
Threshold uncertainty score0.882

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.012
GPT teacher head0.245
Teacher spread0.233 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations83
Published2007
Admission routes2
Has abstractyes

Explore more

Same venueReviews in Mineralogy and GeochemistrySame topicHigh-pressure geophysics and materialsFrench-language works237,207