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Record W2506633152 · doi:10.5539/esr.v5n2p188

Characteristics of Fluid Inclusion and D-O-S-Pb Isotopes Geochemistry of Jiaojia Gold Deposit

2016· article· en· W2506633152 on OpenAlexvenueno aff
Yangyang Chen, Bing Chen

Bibliographic record

VenueEarth Science Research · 2016
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicGeochemistry and Geochronology of Asian Mineral Deposits
Canadian institutionsnot available
Fundersnot available
KeywordsGeologyMesothermalGeochemistryInclusion (mineral)Meteoric waterFault (geology)CrustMetamorphic rockMineralogyFluid inclusionsQuartzSeismologyGeotechnical engineeringGroundwater

Abstract

fetched live from OpenAlex

The Jiaojia gold deposit is located in the northwest jiaodong ore-concentrated area, north wing of Laizhou-Xixia anticlinoria, the orebody occurred in the granite which exists the footwall of Jiaojia Fault, Jiaojia Fault is the eastern secondary NE-NNE trending fault of Tan-Lu Great Fault. There are three types of fluid inclusion in Jiaojia gold deposit, respectively are H2O-CO2 inclusion (H-C type), CO2-H2O-CH4 inclusion (CH4 -bearing type) and H2O inclusion (H type). In Jiaojia gold deposit, the main ore-forming temperature is 170.2~358.1℃, the salinity is ranging from 2.04 wt% NaCl.eq to 10 wt% NaCl.eq with a average of 6.64 wt% NaCl.eq, sum intensity is (0.89~0.946) g/cm3 , pressure estimation is 2×103~3.8×103kPa, the Jiaojia gold deposit is mesothermal gold deposit. The metallogenic substances derived from a mantle-crust-mixed source according to the S and Pb isotopes. The Jiaojia gold deposit was formed in the late stage which was a tensional environment. The ore-forming fluids mainly derived from magmatic and meteoric water, and a fraction of metamorphic water. The Jiaojia gold deposit is formed in the Yanshanian.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.032
Threshold uncertainty score0.063

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.031
GPT teacher head0.273
Teacher spread0.243 · 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 source (direct Gemma or distilled Codex), 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

Citations1
Published2016
Admission routes1
Has abstractyes

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