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Record W4408445184 · doi:10.5194/egusphere-egu25-2028

Deep water sedimentary characteristics of expansion transformation margin in the Xisha area of the South China Sea

2025· preprint· en· W4408445184 on OpenAlexaff
Zhili Yang

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldEarth and Planetary Sciences
TopicGeological and Geophysical Studies
Canadian institutionsPetro-Canada
Fundersnot available
KeywordsGeologyMargin (machine learning)ChinaTransformation (genetics)Sedimentary rockGeochemistryArchaeologyGeography

Abstract

fetched live from OpenAlex

Xisha Area is located in the northern part of the South China Sea. The water depth is about 1000m to 3000m. Since Cenozoic , the Xisha area has experienced dual effects of extension and strike slip on the western margin, forming a special tectonic background of continental slope uplift. Overall, the Xisha area belongs to the continental slope system of the northern South China Sea. It is separated by the Qiongdongnan Basin to the north, on the west connected to the Yuedong Shelf , and  on the south and east ,adjacent to the deep-sea basin. It has developed three stages of sedimentation: fault depression, fault depression transformation, and depression. During the transition and depression periods, carbonate platform sediments developed due to rising sea levels and lacking of injection of terrestrial debris. After the Middle Miocene, the Xisha area was deep-water sedimentary environment on the continental slope, dominated by deep-sea to semi deep-sea sediments, with carbonate platform sediments developed on local uplifts. Under the special tectonic background, two types of deep-water sedimentary systems developed in the Xisha Sea during the Miocene period.During Miocene ,the Xisha Sea area was marine sedimentary environment, with developping two different types of deep-water sedimentary bodies. One type is a deep-water channel supplied by terrestrial debris from the Yuedong River system, and the other is a deep-water channel supplied by carbonate debris from the Xisha Platform. Deep water channels supplied by terrestrial debris are mainly influenced by ancient topography and sea level rise and fall, with strong mobility and mutual cutting characteristics between channels; Deep water channels supplied by carbonate rock debris are mainly influenced by ancient topography, with vertical accretion as the main source and weak mobility of the channels.The deep water channels filled with terrestrial debris developed in the research area are a process of low sea level and early marine invasion from the early to late stages of channel development. From the early stage to the late stage ,the limitation of deep water channels gradually becoming weaker, and the channels developping from a single channel with strong restriction in the early stage to a composite channel with multiple single channels cutting and overlapping each other in the middle stage, and then to late stage channel complexes and channelized lobes.In the Late Miocene, deep-water channels filled with carbonate rock debris developed in the Xisha Sea area, mainly in the depressions between the Guangle Platform and the Xisha Platform  and on the east side of the Huaguang sag. This type of deep-water channel developed in the early Late Miocene, and on seismic profiles, the reflection characteristics in the upstream and downstream are relatively similar, mainly consisting of a single channel vertically stacked. However, the location of the channel is different, and the characteristics of the channel also changed. The filling material of this type of channel is carbonate rock debris from the Xisha Platform, which has strong paleotopographic limitations and is mainly vertically accreted. 

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 score0.092
Threshold uncertainty score0.837

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)0.0010.000

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 head0.013
GPT teacher head0.188
Teacher spread0.175 · 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".

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Citations0
Published2025
Admission routes1
Has abstractyes

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