MétaCan
Menu
Back to cohort
Record W1547529343 · doi:10.4186/ej.2015.19.2.157

Coseismic and Postseismic Displacement of 2011 Mw 6.8 Tarlay Earthquake, Myanmar using InSAR Techniques and Inversion Analysis

2015· article· en· W1547529343 on OpenAlexfundno aff
Pattama Phodee, Itthi Trisirisatayawong, Anuphao Aobpaet

Bibliographic record

VenueEngineering Journal · 2015
Typearticle
Languageen
FieldEarth and Planetary Sciences
Topicearthquake and tectonic studies
Canadian institutionsnot available
FundersCanadian Space AgencyChulalongkorn UniversityGeo-Informatics and Space Technology Development AgencyUniversity of Leeds
KeywordsInterferometric synthetic aperture radarSeismologyGeologyDisplacement (psychology)GeodesyInversion (geology)Remote sensingSynthetic aperture radarTectonics

Abstract

fetched live from OpenAlex

In this study, we investigate the March 24th 2011 Mw=6.8 Tarlay earthquake, Myanmar using Interferometric Synthetic Aperture Radar (InSAR) and inversion analysis. We firstly invert InSAR coseismic displacement from our previous study. The inversions are carried out in both single and multi-patch model. The coseismic slip of 2.5 meter from single-patch solution is then combined with long-term slip rate from geomorphological study, resulting in an estimate of 1,140 - 4,160 years recurrence period. Then, coulomb stress changes on nearby faults in northern Thailand are calculated. It is found that stress in western and middle segments of Mae Chan fault decreases significantly while stress increase in eastern segment of Mae Chan, Mae Ing and Chiang Kham fault. Finally, the results from PSInSAR of 29 Radarsat-2 images reveal postseismic displacement rates between -24.4.6 to 34.5 millimeters per year

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)0.000
metaresearch head score (Gemma)0.000
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.018
GPT teacher head0.211
Teacher spread0.193 · 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
GenreEmpirical

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

Citations4
Published2015
Admission routes1
Has abstractyes

Explore more

Same venueEngineering JournalSame topicearthquake and tectonic studiesFrench-language works237,207