Uplift History of the Eastern Pamir Inferred from Inversion of Thermochronometric Data and River Profile
Bibliographic record
Abstract
Abstract The Pamir salient accommodates a great amount of Cenozoic India-Eurasia convergence in the forms of thrusting, strike-slip faulting, extension, and gneiss dome formation. It thus becomes a key location for exploring the orogenic tectonic evolution. Here, we focus on the Eastern Pamir where extensional deformation dominates during the late Cenozoic. We conducted low-temperature thermochronological dating on bedrock samples collected from the footwall of the Kongur Shan normal fault together with inversion of the longitudinal river profile of the Gez River. Our new zircon and apatite (U-Th)/He (ZHe and AHe) data reveal young ages in proximity to the normal fault and older ages adjacent to the western Tarim Basin. By inverting the Gez River profile together with published and new thermochronological ages, we obtained a sustained uplift rate of ~3 mm/yr in the Kongur Shan dome since ~8 Ma, contrasting with no significant uplift to the east of the dome before the Pliocene. This uplift pattern can be interpreted as a result of the upward extrusion of crust materials along a flat–ramp–flat thrust fault at depth under the context of convergence.
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 | 0.001 | 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".