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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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.011
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesOpen science
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.032
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0110.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0070.005
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

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 teacher head, not a consensus.

Study designNot applicable
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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