Sedimentary Responses of Late Triassic Soft Sedimentary Deformation to Paleoearthquake Events in the Southwest of North China Plate
Bibliographic record
Abstract
Abstract The tectonic events caused by paleoearthquakes have a good response in sedimentary filling. Outcrops and cores from the Chang-7 Member of the Late Triassic Yanchang Formation, Ordos Basin in Northern China, yield a wide variety of soft sedimentary deformation structures (SSDSs), many of which are laterally extensive for more than 150 km. They include various types of folds, soft sediment liquefaction deformation (liquefied sandstone dyke, liquefied breccia), gravity-driven deformation (load structures, ball-and-pillow structures), hydraplastic deformation (loop bedding, convolute deformation) and brittle deformation (intrastratal faults and stair-step microfaults, microcracks). In most cases, deformation is represented by hybrid brittle-ductile structures exhibiting lateral variation in deformation style. These occur in delta front to semideep to deep lake sands and mudstones (shales). The seismites recognized in outcrops and cores indicate earthquakes with magnitudes between 6 and 8, which are interpreted as a response to splicing collision orogenic events of the South China Block (SCB) and North China Block (NCB) during the Late Triassic period. Systematic study of the spatial and temporal distribution of these seismites improves the understanding of the tectonic context and evolutionary history of sedimentary basements. This study can provide a new perspective on the evolution of tectonic activities in the basin.
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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".