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Record W2039432879 · doi:10.2113/gscanmin.42.6.1733

STRUCTURAL AND PHYSICAL PROPERTIES OF FISCHESSERITE, A RARE GOLD SILVER SELENIDE FROM THE DE LAMAR MINE, OWYHEE COUNTY, IDAHO, USA

2004· article· en· W2039432879 on OpenAlexvenueno aff
L. Bindi, Curziο Cipriani

Bibliographic record

VenueThe Canadian Mineralogist · 2004
Typearticle
Languageen
FieldMaterials Science
TopicCrystal Structures and Properties
Canadian institutionsnot available
FundersCentre National de la Recherche Scientifique
KeywordsSelenideGeologyArchaeologyGeochemistryMining engineeringMineralogyMaterials scienceMetallurgyGeographySelenium

Abstract

fetched live from OpenAlex

Fischesserite, Ag3AuSe2, from the De Lamar mine, Owyhee County, Idaho, USA, was chemically and structurally analyzed. Electron-microprobe analyses give the chemical formula Ag2.98Cu0.01Au0.97Se2.03. Fischesserite is optically isotropic, silver white in color with a metallic luster. In reflected light, the mineral is pink. Where observed near naumannite, it appears darker with slightly bluish tints. Reflectivity values are 32.5 (471.1 nm), 30.0 (548.3 nm), 31.1 (586.6 nm), and 33.7% (652.3 nm). Fischesserite is cubic, space group I 4132, with a 9.965(1) A, V 989.5(2) A3 and Z = 8. The crystal structure has been refined to R = 2.69%. Fischesserite exhibits a garnet-like structure consisting of edge-sharing Ag[Se4Ag2Au2] and Au[Ag6Se2] polyhedra. Fischesserite is confirmed to be isotypic with petzite, Ag3AuTe2. The different crystal-chemical environments of noble metals in fischesserite and petzite are compared with those found in other silver–gold chalcogenides.

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 score0.026
Threshold uncertainty score0.052

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
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 head0.020
GPT teacher head0.211
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 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

Citations32
Published2004
Admission routes1
Has abstractyes

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