Comparison Of Backprojection Techniques For Rupture Propagation Modelling Of The Mw=7,8 Earthquake Near Kahramanmaras And Its Mw=7,5 Aftershock Near Elbistan Turkey, 2023
Bibliographic record
Abstract
This paper utilises teleseismic Z-component data to investigate the rupture\textquotesingle{s} propagation, extent and velocity field for two destructive earthquakes of the East Anatolian Fault Zone (EAFZ); the M_w=7,8 earthquake occurrence near Kahramanmaras on 2023/Feb/06 and its M_w=7,5 major aftershock at Elbistan (Cardak Fault). Both earthquakes have been the most devastating in that tectonic region during the last decades and have caused property damage and human casualties. The extent of the rupture was modelled with high-resolution beamforming and multichannel classification.The teleseismic data were derived from agencies in the US and Canada. The rupture of the M_w=7,8 earthquake was found to be bi-directional towards north-east and south-west. A distance of 299 km was covered in 185 s with varying velocity field values along the main fault, while its splay and the major aftershock, ruptured, also, bi-directionally, to an extent of 150 km within 46 s. The findings provide new insights of the evolution of the spatio-temporal rupture of the EAFZ and may serve as a basis for long-term earthquake hazard planning of the area.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
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".