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Record W7005773340

Silver Mineralogy and Modes of Occurrence at the Silver Hart Deposit, South East Yukon.

2023· article· en· W7005773340 on OpenAlexaboutno aff

Bibliographic record

VenueKTH Publication Database DiVA (KTH Royal Institute of Technology) · 2023
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCell Image Analysis Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsGalenaSkarnBiotiteAntimonyMineralization (soil science)Electron microprobeVeinQuartz
DOInot available

Abstract

fetched live from OpenAlex

The Silver Hart property is a high grade silver-lead-zinc deposit consisting of polymetallic vein style, manto (carbonate replacement) style, and skarn type mineralization. Host rock consists of calcareous and non-calcareous sediments of the Cassiar Platform, mainly biotite schists, limestone units, and the monzogranite unit of the Cassiar Batholith. Bulk geochemistry shows that silver concentrations are closely related to copper and antimony values, suggesting freibergite, a silver-rich endmember of tetrahedrite, is the dominant silver mineral. EPMA (microprobe) analyses identified 6 silver minerals present; silver-bearing anglesite, freibergite, diaphorite, stephanite, pyrargyrite, and silver substitution in galena. Sulfur isotope analyses of galena gave an average δ34S of 6.9‰ vs VCDT, indicating a mixed mineralizing fluid source. Metal zoning patterns indicates that there is a thermal gradient across the main vein from hottest in the south-west, above the monzogranite intrusion, to coolest in the north-east. Microprobe analyses of freibergite indicates initial ore-forming fluid temperatures were between 250°C - 350°C, with subsequent cooler mineralization fluids of 170°C - 200°C.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.024
Threshold uncertainty score0.690

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 science0.0010.001
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 head0.016
GPT teacher head0.260
Teacher spread0.244 · 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 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

Citations0
Published2023
Admission routes1
Has abstractyes

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