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Record W4391042032 · doi:10.61784/ajes240107

A REVIEW ON THE MINERALOGY OF STIBNITE IN HYDROTHERMAL GOLD DEPOSITS

2024· review· en· W4391042032 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAcademic Journal of Earth Sciences · 2024
Typereview
Languageen
FieldEngineering
TopicGeoscience and Mining Technology
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsStibniteHydrothermal circulationAntimonyGeologyMineralization (soil science)MineralogyMineralQuartzGeochemistryPyriteChemistryInorganic chemistry

Abstract

fetched live from OpenAlex

Stibnite is an important mineral in hydrothermal gold mineralization systems. The study of stibnite mineralogy is an integral part of the study of the mineralization mechanism of hydrothermal gold deposits. The mineralogical characteristics of stibnite mainly include physical structure and chemical composition characteristics. The author reviews the morphology, unit cell parameters, infrared spectrum, electron paramagnetic resonance spectrum and other physical characteristics of stibnite in hydrothermal gold deposits, as well as rare earth trace elements, The geochemical characteristics of sulfur isotopes, the application of antimony isotopes, the gold content of stibnite in hydrothermal gold deposits, and many other aspects.

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.

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)0.002
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: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.977
Threshold uncertainty score0.686

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.002
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 head0.064
GPT teacher head0.332
Teacher spread0.268 · 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