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Record W6969754008 · doi:10.5683/sp2/zpsdit

Replication Data for "Progressive development of E-W extension across the Tibetan plateau: A case study of the Thakkhola graben, west-central Nepal"

2019· dataset· en· W6969754008 on OpenAlexaff

Bibliographic record

VenueBorealis · 2019
Typedataset
Languageen
FieldDecision Sciences
TopicScientific Computing and Data Management
Canadian institutionsUniversity of ManitobaUniversity of CalgaryUniversity of British Columbia
Fundersnot available
KeywordsZirconMonaziteExtensional definitionGrabenPlutonPlateau (mathematics)Late Miocene

Abstract

fetched live from OpenAlex

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 imitation

Not 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.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.024
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Dataset · Consensus signal: none
Teacher disagreement score0.178
Threshold uncertainty score0.597

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.024
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0050.012
Science and technology studies0.0030.001
Scholarly communication0.0020.001
Open science0.0020.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.1780.023

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.

Opus teacher head0.278
GPT teacher head0.458
Teacher spread0.180 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreDataset

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".

Quick stats

Citations0
Published2019
Admission routes1
Has abstractyes

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