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Record W3034202490 · doi:10.24908/iqurcp.14041

Possible ore-controlling structures for the Woxi Au/Sb/W deposit in Tanghuping Mining Section, Hunan Province, South China

2020· article· en· W3034202490 on OpenAlexvenueno aff
Xi Wang, Laurent Godin, Jinjun Yang, Kai Zou

Bibliographic record

VenueInquiry Queen s Undergraduate Research Conference Proceedings · 2020
Typearticle
Languageen
FieldComputer Science
TopicGeochemistry and Geologic Mapping
Canadian institutionsnot available
Fundersnot available
KeywordsGeologyMining engineeringSeismologyStibniteClastic rockCataclastic rockGeochemistryQuartzFault (geology)PetrologySphaleritePaleontologySedimentary rock

Abstract

fetched live from OpenAlex

The Woxi Mining District in Hunan Province, South China, hosts numerous high tonnage gold, stibnite, and tungsten strata-bound deposits. Our research focuses on the geological characteristics of the Tanghuping and Xintianwan faults in the Tanghuping Mining Section, within the Woxi Mining District. The Woxi Mining District exposes mainly slate, with interbedded quartz sandstone and clastic rocks, cut by three faults: the Tanghuping, Xintianwan, and Woxi faults. We test the hypothesis that the mineralization in this district is structurally controlled, related to motion along these faults. While the presence of Tanghuping and Xintianwan faults in the Tanghuping Mining Section has not been confirmed, the proposed faults are interpreted to be intimately related to mineralization. The results of previous field works have corroborated the location of the Tanghuping and Xintianwan faults and suggest that zones of high strain coincide with these faults. However, recent core logging data do not show evidence of fracture zones at the expected depth. It is therefore still unclear if the high strain is related to the presence of the faults or if it is the result of fold-related interlayer flexural slip. Microstructural analysis is used to further characterize strain-induced recrystallization textures and sense of shear near and within the interpreted fault zones. Understanding this relationship is important to assist exploration in detecting ore systems on a regional scale and identify the most profitable areas.

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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.718
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0000.001
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 head0.077
GPT teacher head0.315
Teacher spread0.238 · 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.

Study designSimulation or modeling
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
Published2020
Admission routes1
Has abstractyes

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