Replication Data for "Progressive development of E-W extension across the Tibetan plateau: A case study of the Thakkhola graben, west-central Nepal"
Bibliographic record
Abstract
Full analytical data in support of the manuscript "Progressive development of E-W extension across the Tibetan plateau: A case study of the Thakkhola graben, west-central Nepal", submitted to International Geology Review The Thakkhola graben is a large-scale N-S striking, E-W extensional structure located in west-central Nepal that previous work has shown was actively developing ~ 17 Myr ago. New multi-system geochronological data from the immediate footwall of the Dangardzong fault, the main graben-forming structure in the Thakkhola, outline decelerating cooling paths. The average cooling rate in the footwall of the Dangardzong fault changes from 55 ± 5 ˚C/Ma in the early Miocene (~ 22-13) defined by monazite U-Th/Pb pluton crystallization ages, mica 40Ar/39Ar cooling ages and zircon U-Th/He ages, to 18 ± 7 ˚C/Ma in the middle to late Miocene (~13-8 Ma) between zircon and apatite U-Th/He ages, and finally to 6 ± 3 ˚C/Ma from the late Miocene to present day (cooling post apatite U-Th/He closure). The changing cooling rate is interpreted to reflect the widespread development of graben in the Tibetan plateau beginning in the middle Miocene and the progressive partitioning of strain away from the Thakkhola.
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 | 0.004 | 0.024 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.005 | 0.012 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.178 | 0.023 |
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".