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Record W3171985656 · doi:10.17714/gumusfenbil.866085

Microthermometric characteristics of vein type U-Th enrichment observed in the Fault Zones in Northwest of Arıklı (Çanakkale-Turkey)

2021· article· en· W3171985656 on OpenAlexaff
Cihan Yalçın, Sercan Öztürk, Mustafa Kumral

Bibliographic record

VenueGümüşhane Üniversitesi Fen Bilimleri Enstitüsü Dergisi · 2021
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeological and Geochemical Analysis
Canadian institutionsStantec (Canada)
Fundersnot available
KeywordsPhysicsAnimal scienceGeologyForestryHorticultureGeographyBiology

Abstract

fetched live from OpenAlex

U-Th enrichments are observed in many regions in Western Anatolia.There are also U and Th enrichments in the fault zones developed in the tuffs in Arıklı in Biga Peninsula.The characterization of the mineralization is vein type and epigenetic formation.Çetmi Ophiolitic Melange forms the basis of the region.Küçükkuyu formation, which consists of Arıklı tuff member and shale-sandstone member, is located on this unit.The youngest unit in the region is diabase dykes.The study area was affected by deformations during the Paleogene period and E-W and NE-SW extended dip slip fault systems were developed.In the fault zone around Örencik Tepe, 64-1640 ppm values for U and 302-11813 ppm values for Th were obtained respectively.At the same time, hydrothermal magnesite breccias developed in this fault zone.Because of microthermometric assessments in these breccias associated with mineralization, it was determined that the homogenization temperatures (Th, o C) were between 282-348 o C and the % NaCl salinity equivalents were between 4.2-8.0respectively.It was identified that the solution system of the liquid inclusions is as H2O-MgCl2-CaCl2 and the density of the liquids is between 0.58-0.74g/cm 3 .

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 score0.021
Threshold uncertainty score0.042

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 studies0.0000.000
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 head0.020
GPT teacher head0.190
Teacher spread0.170 · 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

Citations0
Published2021
Admission routes1
Has abstractyes

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