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Record W4245302966 · doi:10.1130/g39806.1

Appalachian-style multi-terrane Wilson cycle model for the assembly of South China

2018· article· en· W4245302966 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueGeology · 2018
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeological and Geochemical Analysis
Canadian institutionsUniversity of TorontoUniversity of Waterloo
FundersNational Key Research and Development Program of ChinaNational Natural Science Foundation of China
KeywordsTerraneGeologyStyle (visual arts)ChinaPaleontologyGeochemistryArchaeologyGeographyTectonics

Abstract

fetched live from OpenAlex

The evolution of South China involved accretion-collision of multiple terranes from the Proterozoic to the Mesozoic. Zircon U-Pb ages, Hf data, and structural data indicate that the Cathaysia block consists of two terranes, West Cathaysia and East Cathaysia, separated by a newly recognized major strike-slip fault. We propose that West Cathaysia was part of a microcontinent that originated from a Grenvillian-aged orogen in the Rodinia supercontinent, East Cathaysia originated from an Indosinian-aged orogen in the Paleo-Tethyan regime to the south and was translated to the east of West Cathaysia through strike-slip motion, and the early Paleozoic Wuyi-Yunkai orogeny was a result of direct collision of West Cathaysia with a yet-unidentified terrane that rifted away after the collision. We conclude that a multiterrane Wilson cycle (multi-terrane accretion-collision, large-scale strike-slip motion, and separation of two terranes by post-collisional rifting along the suture zone) characterizes the history of South China and may be a common feature of orogens.

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.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.699
Threshold uncertainty score0.999

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)0.0020.000

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 head0.023
GPT teacher head0.227
Teacher spread0.204 · 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