Spatial and temporal evolution of Cenozoic carbonate platforms on the continental margins of the South China Sea: Response to opening of the ocean basin
Bibliographic record
Abstract
Abstract Widespread and tremendously thick Cenozoic carbonate sequences are present along the margins of the South China Sea (SCS). However, most of the sequences have been drowned since the Late Miocene. The stratigraphic architecture of the carbonate platforms in the SCS can provide information on the tectonic evolution of the ocean basin. Based on 2D/3D seismic, well and regional geologic data, we have interpreted the Cenozoic SCS carbonate platforms along the continental margins. The carbonate platforms developed during rifting and initiated on the fault block of the conjugate rifted margins. Most of the carbonate platforms became drowned after the Middle Miocene. The Malampaya Carbonate Sequences, which have thicknesses of greater than 600 m, developed on a horst of an Oligocene rifted block. Tectonic subsidence provided accommodation for the growth of the carbonate platforms. Tectonic tilting, faulting, and the foreland bulge controlled the distributions, thicknesses, and horizontal seismic reflection variations of the drowned carbonate platforms. The tectonic evolution and relative sea-level fluctuations controlled the depositional cycles of the carbonate platforms. We quantitatively calculated the factors that affected the extension and subsidence rates using balanced cross section and backstepping techniques. Our results have demonstrated that the carbonate platforms flourished during the Middle Miocene due to stable tectonic conditions and shrank during the Late Miocene due to rapid subsidence. The relative sea level exerted a second-order control on the evolutionary trend of the carbonate platforms and a third-order control on the evolutionary periods in each stage.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".