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Record W2192049983

Economic Geology, Petrology and Geochemistry of Tas Hall Copper Index (South Azna,Lorestsn,Iran)

2013· article· en· W2192049983 on OpenAlexvenueno aff
Amin Panahi, Mohsen Balvasi

Bibliographic record

VenueJournal of academic and applied studies · 2013
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeological and Geochemical Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsGeologyGeochemistryAndesiteVolcanic rockMetasomatismIgneous rockMineralization (soil science)SkarnFelsicPetrologyVolcanoMantle (geology)PaleontologyHydrothermal circulationFluid inclusions
DOInot available

Abstract

fetched live from OpenAlex

The Tas hall copper index is located in 15 Km of south of Azna, Lorestan, Iran, and is regarded as a small portion of Sanandaj – Sirjan Zone (SSZ). The studied region is affected by important orogenic phases of Cimmerian and final cretaceous and several intrusive masses like Azna are injected in it. These masses have penetrated into shales and Jurassic sandstone. The igneous rocks are mainly ranging from granodiorite to andesite volcanic. The petrology studies show that volcanic rocks of the region are porphyry andesite. In terms of mineralization : chalcopyrite, chalcosite, burnit, malachite, azurite, magnetite and limonite minerals are the most important minerals that occurring as veinlets. In terms of alteration, sericitiazation, chloritization, and epidotization are dominated alterations of the region. With regard to development of alteration zones in volcanic rocks and vein mineralization in these rocks it seems that these rocks are the main host rock of mineralization in the region and mineralize factor must be related to probably granodiritic intrusive. Based on geotectonic data these rocks are related to arcs after collision volcanic. The under studied region’s rocks are normalized based on primitive mantle and ORG values. All cases almost show chemical-charactiritics and similar neicheru mantle metasomatism ore continental crust impregnation.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.033
Threshold uncertainty score0.721

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
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 head0.017
GPT teacher head0.225
Teacher spread0.208 · 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 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

Citations0
Published2013
Admission routes1
Has abstractyes

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