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Record W2949189930 · doi:10.3749/canmin.1900012

Jervisite, NaScSi2O6: Optical Data, Morphology, Raman Spectroscopy, and Crystal Chemistry

2019· article· en· W2949189930 on OpenAlexvenueno aff
Pietro Vignola, Nicola Rotiroti, Frédéric Hatert, Danilo Bersani, Sergio Andò, Sergio Varvello

Bibliographic record

VenueThe Canadian Mineralogist · 2019
Typearticle
Languageen
FieldMaterials Science
TopicCrystal Structures and Properties
Canadian institutionsnot available
Fundersnot available
KeywordsRaman spectroscopyCrystallographyChemistryCrystal structureValence (chemistry)AegirineCrystal (programming language)SpectroscopySingle crystalCrystal chemistryMineralPhysicsOptics

Abstract

fetched live from OpenAlex

Abstract The crystal structure of jervisite, ideally NaScSi2O6, was refined using single-crystal X-ray data collected using a crystal from the Seula quarry (Baveno, Verbano-Cusio-Ossola province, Italy). The refinement was carried out in the C2/c space group giving the following unit-cell dimensions: a = 9.8478(2) Å, b = 9.0575(1) Å, c = 5.3409(3) Å, β = 106.87(2)°, and V = 455.89(2) Å3 for Z = 4. The previous crystal structure, refined using data from a synthetic analogue and a natural sample, was confirmed and conforms with that of aegirine. The bond-valence calculation and the refined occupancy of the M1 and M2 sites confirm the cation distribution adopted in the empirical formula. Raman spectroscopy and refractive index measurements were also performed, and the morphology was studied in order to provide a complete description of this Sc-bearing Na pyroxene.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
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 head0.017
GPT teacher head0.231
Teacher spread0.213 · 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 source (direct Gemma or distilled Codex), 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

Citations3
Published2019
Admission routes1
Has abstractyes

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