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Arsenoflorencite-(La), a new mineral from the Komi Republic, Russian Federation: description and crystal structure

2010· article· en· W2314655503 on OpenAlexaff
Stuart J. Mills, П. М. Карташов, Anthony R. Kampf, Mati Raudsepp

Bibliographic record

VenueEuropean Journal of Mineralogy · 2010
Typearticle
Languageen
FieldMaterials Science
TopicCrystal Structures and Properties
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsRussian federationGeologyGeochemistryMineralPolitical scienceCrystallographyMineralogyGeographyChemistryMaterials scienceRegional scienceMetallurgy

Abstract

fetched live from OpenAlex

(La), spessartine and monazite–gasparite-group minerals in Mn-rich nodules in metasediments. Arsenoflorencite-(La) forms oran-ge–red to pink rhombohedral, pseudocubic or tabular crystals up to about 0.2 mm across. The dominant forms observed are {001} and {102}. The crystals have a vitreous lustre, are transparent to translucent, have a very light pink streak and are non-fluorescent. Mohs hardness is about 3.5 (estimated). The fracture is uneven and the tenacity is brittle. Arsenoflorencite-(La) has fair cleavage on {001}. Crystals are uniaxial (þ), with the indices of refractiono 1.740(5) and e 1.750(5), measured in white light, and are nonpleochroic. The empirical formula (based on 14 O atoms) is: (La0.56Ce0.18Nd0.12Pr0.04Sr0.09Ca0.03)1.02(Al2.94Fe0.06)3.00(As1.80P0.21)2.01H5.95O14. The simplified formula is LaAl3(AsO4)2(OH)6. Arsenoflorencite-(La) is trigonal, space group R3m, a 7.0316(3), c 16.5151(8) Å, V 707.16(5) Å3 and Z 3. The crystal structure was solved from single-crystal X-ray diffraction data and refined to R1 0.0112 on the basis of 287 unique reflections with Fo. 4sF and R1 0.0116 for all 293 reflections. The five strongest lines in the powder X-ray

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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.

Opus teacher head0.013
GPT teacher head0.203
Teacher spread0.190 · 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 designBench or experimental
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

Citations19
Published2010
Admission routes1
Has abstractyes

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