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Record W6884538526 · doi:10.1051/bsgf/2017011/pdf

Late Jurassic – Early Cretaceous continental extension in northeast Asia – Relationships to plate kinematics

2017· article· en· W6884538526 on OpenAlexaff

Bibliographic record

VenueSpringer Link (Chiba Institute of Technology) · 2017
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeological and Geochemical Analysis
Canadian institutionsMinistère des Ressources naturelles et des Forêts (Québec)
Fundersnot available
KeywordsCretaceousSubductionMetamorphic core complexContinental marginRiftPlate tectonicsLithosphereExtensional definitionEurasian Plate

Abstract

fetched live from OpenAlex

Northeast Asia is the greatest area in the world where continental extension is documented, from Transbaikalia to the Pacific coast. The major extensional events occurred during Late Jurassic - Early Cretaceous times and are marked by rift basins filled with continental sediments and volcanic rocks, metamorphic core complexes, and extensive magmatism. Here, we review the different types of extensional structures in the region using our own examples from eastern Mongolia, including new data from the Gobi area, and those previously documented in the adjacent regions. We further provide a compilation of available ages, including new data from Transbaikalia, to constrain crustal stretching throughout northeastern Asia. Our analysis shows that extension is not correlated to orogenic collapse, but is coeval with two major changes in plate kinematics that occurred at ca. 140 Ma: the closure of the Mongol-Okhotsk Ocean and a major change in the subduction direction of the Izanagi oceanic plate towards northeast Asia, from high-angle to low-angle convergence. These major changes in plate kinematics combined with an abnormally hot pre-extension state of the continental lithosphere might have triggered spreading in northeast Asia.

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 score0.030
Threshold uncertainty score0.059

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 head0.021
GPT teacher head0.222
Teacher spread0.201 · 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
Published2017
Admission routes1
Has abstractyes

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