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Record W2123412652 · doi:10.3749/canmin.48.3.441

ASSEMBLAGES OF Ag-Bi SULFOSALTS AND CONDITIONS OF THEIR FORMATION: THE TYPE LOCALITY OF SCHAPBACHITE (Ag0.4Pb0.2Bi0.4S) AND NEIGHBORING MINES IN THE SCHWARZWALD ORE DISTRICT, SOUTHERN GERMANY

2010· article· en· W2123412652 on OpenAlexvenueno aff
Sebastian Staude, Angelika Dorn, Katharina Pfaff, Gregor Markl

Bibliographic record

VenueThe Canadian Mineralogist · 2010
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeological and Geochemical Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsGeochemistryType localityGeologyLocalityMining engineeringEcologyBiology

Abstract

fetched live from OpenAlex

Several examples of hydrothermal vein-type mineralization with matildite, schapbachite, ourayite, eskimoite, berryite, benjaminite, miharaite, and gustavite occur along the Northern Kinzigtal Fault (NKF) in the Schwarzwald ore district, in southwestern Germany. The complex history of naming of the sulfosalts schapbachite and matildite is shortly revisited here. The sequence of mineralization starts with gustavite, ourayite and eskimoite, followed by native bismuth and bismuthinite. These assemblages are overgrown or replaced by a cubic solid-solution of the Ag–Bi–Pb sulfosalt, schapbachite, which later exsolved into galena and matildite. Subsequently, this intergrowth was again overgrown by berryite, benjaminite, chalcopyrite and tennantite. The temperature of formation of the sulfosalt assemblages straddles the conversion of schapbachite (cubic AgBiS 2 ) to matildite (hexagonal AgBiS 2 ). The upper limit based on untwinned acanthite is 179°C, whereas recalculated compositions of schapbachite–galena intergrowths from various localities indicate a formation temperature above 144°C. Calculated fields of stability of matildite show that it is stabilized by higher temperatures or by its solid solution with PbS in favor of an assemblage of Bi- and Ag-sulfide, and by a high sulfur activity, low pH and an f (O 2 ) around the hematite–magnetite buffer in favor of the more common assemblage of native bismuth and native silver.

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)0.000
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 score0.598
Threshold uncertainty score0.691

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.015
GPT teacher head0.208
Teacher spread0.192 · 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

Citations33
Published2010
Admission routes1
Has abstractyes

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