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Record W4321267594 · doi:10.1134/s0001433822100097

Global Heat. Geofluids. Geodynamic Сatastrophes

2022· article· en· W4321267594 on OpenAlexaff
G.S. Vartanyan

Bibliographic record

VenueIzvestiya Atmospheric and Oceanic Physics · 2022
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicHigh-pressure geophysics and materials
Canadian institutionsHydrogenics (Canada)
Fundersnot available
KeywordsEnvironmental scienceAstrobiologyEarth scienceGeophysicsGeologyPhysics

Abstract

fetched live from OpenAlex

The Earth is a powerful heat generator, and endogenous heat is the main and most constant factor controlling the changing intraterrestrial state of matter and the transport of molten deep-set material to the surface. Fluids (melts and gases) are transported through the global endo-drainage system (GEDS): a hydraulically united, high-pressurised megastructure with external parts represented by the subcrustal asthenolayer. In various parts of the subcrustal asthenolayer of GEDS, heating centers, where volumetric gas–fluid anomalies of deep and metamorphogenic genesis are formed and with which the mechanisms of preparation of strong earthquakes are associated, volumetric gas–fluid bodies of endo- and metamorphic origin appear periodically. Rapidly growing short-lived extension structures appear near the surface at the final stage of preparation for seismic catastrophes. They are a near-surface reflection of gas–fluid domes that are formed in the asthenolayer under the future hypocenter. The ability of deformation impulses–replicas to migrate after an earthquake along the GEDS is shown. The successive chain of deformation impulses on the long-period deformogram indicates that they belong to a single thermal process of global coverage. Based on the above geological and geophysical reconstructions and with allowance for the numerous catastrophes that were noted in thermally particularly “sensitive” near-surface media, there is reason to believe that an increase in the heating of the outer parts of the Earth and an increase in the level of seismicity occur due to the deep-set heat sources of the planet.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.018
Threshold uncertainty score0.059

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0010.004
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0180.004

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 head0.005
GPT teacher head0.182
Teacher spread0.177 · 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 designTheoretical or conceptual
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
Published2022
Admission routes1
Has abstractyes

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