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The South China and Indochina neighborhood in the assembled Gondwana

2020· article· en· W3083406700 on OpenAlexaff
Weihua Yao, Jian Wang, Christopher J. Spencer, Erin L. Martin, Zheng‐Xiang Li

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeological and Geochemical Analysis
Canadian institutionsQueen's University
Fundersnot available
KeywordsGondwanaGeologyPaleozoicSupercontinentProvenancePaleontologyCratonSedimentary rockStructural basinTectonics

Abstract

fetched live from OpenAlex

Investigations on the late Neoproterozoic to early Paleozoic sedimentary strata of western South China and northern Indochina reveal a provenance affinity between the two, which was mainly derived from the local western part of South China. The newly discovered provenance featured differently from that of the typical Indian-Australian Gondwana siliciclastic source. Basin types and sedimentation histories of the two sedimentary basins in western South China and northern Indochina are also comparable. Furthermore, previous studies discovered the geochronological, petrological and geochemical similarities of the early Paleozoic magmatic rocks between these two regions, suggesting a connection between the two during the subduction of the proto-Tethys ocean towards the northern Gondwana and the accretion of Asian continents onto the Gondwana mainland. Utilizing all such geological information, we speculate in this study that South China and Indochina were probably in the neighbourhood on the northern Gondwana margin when the Gondwana semi-supercontinent was assembled. Specifically, Indochina was likely located to the southwest of South China during the late Neoproterozoic to early Paleozoic. Apart from sedimentation, neither Indochina nor the western part of South China got much deformational and metamorphic impaction from the collision between South China and northern Gondwana during that time.

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 score0.052
Threshold uncertainty score0.104

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.176
Teacher spread0.165 · 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
Published2020
Admission routes1
Has abstractyes

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