Sequence stratigraphy, paleoclimate patterns, and vertebrate fossil preservation in JurassicCretaceous strata of the Junggar Basin, Xinjiang Autonomous Region, People's Republic of China
Bibliographic record
Abstract
Multi-kilometre-thick JurassicCretaceous-age sedimentary successions exposed in the southern, northwestern, and northeastern regions of the Junggar Basin display a consistent and correlative stratigraphy comprising four, stacked second-order megasequences: Badaowan, Sangonghe, Shishugou, and Kalaza. Each consists of a basal erosional unconformity or discontinuity surface and lower, middle, and upper units that are interpreted as forestepping, backstepping, and aggradational systems tracts, respectively. Each megasequence is interpreted as recording an upsection shift from active tectonism and uplift to tectonic quiescence with associated changes in crustal response and sediment supply. Basin-wide analysis of megasequences indicates that tectonism was intermittent and regionally variable. A maximum phase of subsidence and sediment accommodation is recorded in the middle unit of each megasequence and correlates with a notable abundance of fossil vertebrates suggesting a primary tectonic and basin-response control on fossil preservation. Seasonally dry climatic conditions were developed first in the northeastern region of the basin during the Pliensbachian, followed by basin-wide seasonal dryness during the Bajocian. Seasonally dry climatic conditions were permanently established across the basin by the Oxfordian and intensified during the Early Cretaceous. A seasonally dry climate from Oxfordian through the Early Cretaceous correlates positively with the widespread presence of fossil vertebrates and suggests an additional climatic control on fossil preservation.
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 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 | 0.002 | 0.002 |
| 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".