MétaCan
Menu
Back to cohort
Record W4393632907 · doi:10.5281/zenodo.7693578

Mid-Miocene Acceleration of Strike-slip Deformation in The Tian Shan, Central Asia

2023· dataset· en· W4393632907 on OpenAlexaff
Siyu Wang, Ruohong Jiao, Huiping Zhang, Jiawei Zhang, Jianzhang Pang

Bibliographic record

VenueOSF Preprints (OSF Preprints) · 2023
Typedataset
Languageen
FieldEarth and Planetary Sciences
TopicGeological and Geochemical Analysis
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsGeologySeismologyCentral asiaTianLate MioceneStrike-slip tectonicsSlip (aerodynamics)PaleontologyFault (geology)GeographyPhysical geographyAncient historyHistoryStructural basin

Abstract

fetched live from OpenAlex

This is a repository containing thermochronology data and corresponding references used in the exhumation rate inversion in the manuscript: Wang, S., Jiao, R., Zhang, H., Zhang, J., Pang, J., (2023) Mid-Miocene Acceleration of Strike-slip Deformation in The Tian Shan, Central Asia. Send questions to siyuwang@uvic.ca.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.651
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0020.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.3910.473

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 head0.020
GPT teacher head0.231
Teacher spread0.211 · 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; both teacher heads agree on what is shown here.

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
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueOSF Preprints (OSF Preprints)Same topicGeological and Geochemical AnalysisFrench-language works237,207