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Main Sections of the Earth Crust and Upper Mantle of the Greater Caucasus by New Technologies. 2. Deep Seismic Sounding, Micro Seismic Sounding

2017· article· en· W2767310653 on OpenAlexaboutno aff
S. A. Ghonghadze, T. Chélidzé, P. Sh. Mindeli, N. I. Ghlonti, J. K. Kiria, O.V. Yavolovskaya

Bibliographic record

VenueGeofizicheskiy Zhurnal · 2017
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeological Studies and Exploration
Canadian institutionsnot available
Fundersnot available
KeywordsDepth soundingGeologyCrustSeismic tomographySeismologySeismic refractionGeophysicsTomographyMantle (geology)Radiology

Abstract

fetched live from OpenAlex

The work reviews the possibility of application of the seismic tomography method for processing the materials of deep seismic sounding (DSS). It presents comparative results by various softwares as GeoGiga Seismic PRO 7.0 (Canada), XTomo-LM (St. Petersburg). The work shows the possibility of using tomography together with the data of the micro seismic sounding (MSS) method. The basic section of the Earth's crust and upper mantle by tomographic sections. It is determined that the cover of the foundation is strongly indented, i.e., all the foundation is fragmented into blocks, which are enclosed by the net of faults formed according to the gradient zones of speeds and fragmentation of speed inhomogeneity in the tomography section. The thickness of the earth crust under the Greater Caucasus increases to 60—70 km. It reveals the speed image obtained as a result of seismic tomography, earlier constructed speed models of the DSS profiles of Bakuriani—Stepnoye and Nakhchivan—Volgograd reinterpreted by Pavlenkova G. A, also correlative analysis of the method of deep seismic sounding (DSS) and the method of micro seismic sounding (MSS) of the profile of Tskhinval—Ardon.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.017
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
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 head0.020
GPT teacher head0.207
Teacher spread0.187 · 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 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

Citations2
Published2017
Admission routes1
Has abstractyes

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