MétaCan
Menu
Back to cohort
Record W1716057239 · doi:10.17491/jgsi/2006/670106

Origin of Fluorite Mineralisation and Hydrothermal Alteration at the Chandidongri Deposit, Rajnandgaon District, Central India - Evidence from Oxygen and Hydrogen Isotopes

2006· article· en· W1716057239 on OpenAlexaff
A. Changkakoti, H. S. Pandalai, John Edward Gray, Sarita Afaq Ahmad, ER Perasud

Bibliographic record

VenueJournal of the Geological Society of India · 2006
Typearticle
Languageen
FieldEarth and Planetary Sciences
Topicearthquake and tectonic studies
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsFluoriteGeologyGeochemistryQuartzProterozoicHydrothermal circulationMineralization (soil science)Fluid inclusionsMeteoric waterMagmatic waterIsotopes of oxygenVeinSchistMineralogyMetamorphic rockTectonics

Abstract

fetched live from OpenAlex

Abstract Economic mineralization relatable to the early-Proterozoic Dongargarh granite that forms part of a large volcano-plutonic complex of Central India includes the Chandidongri fluorite deposit located on the granite, a few small deposits of uranium in sheared rhyolites and basic rocks in close proximity to the granite, and minor Cu±Pb mineralisation within sheared rhyolites In the fault-controlled fluorite deposit at Chandidongri, the δ18O values of fluonte-beanng quartz lange from 11 4 to 13 8 per mil, whereas δ18O values of quartz from intensely altered granites range from 13 0 to 14 4 per mil The δD values of fluid inclusion waters extracted from vein-quartz, fluorite and quartz from altered granites range from -32 to -52, -38 to -40 and -48 to -60 per mil respectively The δ18O values and measured δD values indicate a dominantly meteoric source for the fluorite and alteration fluids that may have undergone slight mixing with magmatic water

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.080
Threshold uncertainty score0.159

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
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 head0.015
GPT teacher head0.205
Teacher spread0.190 · 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 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

Citations2
Published2006
Admission routes1
Has abstractyes

Explore more

Same venueJournal of the Geological Society of IndiaSame topicearthquake and tectonic studiesFrench-language works237,207