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Record W2361463441

STUDY FOR THREE-DIMENSIONAL STRUCTURE OF EARTH INTERIOR AND GEODYNAMICS IN CHINA AND ADJACENT LAND AND SEA REGIONS

2003· article· en· W2361463441 on OpenAlexaff
Jie Zhu

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeological and Geophysical Studies
Canadian institutionsCAE (Canada)
Fundersnot available
KeywordsLithosphereAsthenosphereGeologyGeodynamicsMantle (geology)CrustGeophysicsRiftCratonEarth scienceTectonicsSeismology
DOInot available

Abstract

fetched live from OpenAlex

The continent of China and its adjacent land and marginal seas were formed by convergent and collided of a series of subplates and blocks in the late Paleozoic. Since Mesozoic the lithosphere in east part of east Asia was broken up and thinning, the asthenosphere upwelling forming the giant rifts system, whereas in west part the Indian lithosphere collided with Eurasia in Paleocene causing the crust to be shortened and uplifted. The structure and evolution of lithosphere are very complicated. We collected the newly geophysical data and other geospaces data in China and adjacent land and sea regions for inverting the fine threedimensional structures Earth model with multidiscipline researches and various inversion methods. The highresolution threedimensional Earth model and database in the area will be built and provide a reference model for applied in individual geosciences fields. It aimed to discover the structure of lithosphere and asthenosphere, the threedimensional velocity and physical properties in transition zone to coremantle boundray. To study the interactions between subplates and blocks of lithosphere, the deep dynamic processes of the mantle convection, layered coupling. A detail discussion has been made for the structure and interaction of lithospheric blocks, especially for the deep dynamic processes collision and thicken of lithosphere in west part and the extension and thinning in east part.

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 score0.074
Threshold uncertainty score0.942

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.011
GPT teacher head0.201
Teacher spread0.189 · 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

Citations2
Published2003
Admission routes1
Has abstractyes

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Same topicGeological and Geophysical StudiesFrench-language works237,207