MétaCan
Menu
Back to cohort
Record W2955553779 · doi:10.2138/am-2019-6903

Lepageite, Mn32+(Fe73+Fe42+)O3[Sb53+As83+O34], a new arsenite-antimonite mineral from the Szklary pegmatite, Lower Silesia, Poland

2019· article· en· W2955553779 on OpenAlexaff
Adam Pieczka, Mark A. Cooper, F. C. Hawthorne

Bibliographic record

VenueAmerican Mineralogist · 2019
Typearticle
Languageen
FieldEnvironmental Science
TopicArsenic contamination and mitigation
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsMassifPegmatiteGeochemistryMineralGeologyArseniteMineralogyChemistryArsenic

Abstract

fetched live from OpenAlex

Abstract Lepageite, a new arsenite-antimonite mineral, was discovered in a granitic pegmatite hosted by serpentinites of the Szklary massif, Lower Silesia, southwest Poland. Lepageite is a primary mineral formed during injection of an evolved LCT-type melt related to anatectic processes within the metasedimentary-metavolcanic complex of the nearby Góry Sowie Block, ~380 Ma, into serpentinite of the Szklary massif and its contamination by fluid-mobile serpentinite-hosted elements, among others As and Sb, transported in the form of H2AsO3− and HSbO2 species at pH ≈ 9–11 and a low redox potential of –0.7 to –0.3 V.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.179
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0080.004

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 head0.005
GPT teacher head0.206
Teacher spread0.201 · 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; both teacher heads agree on what is shown here.

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

Citations4
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueAmerican MineralogistSame topicArsenic contamination and mitigationFrench-language works237,207