Relocation and Magnitude for Earthquakes in the Outer Arabian Platform of Iraq
Bibliographic record
Abstract
In this study, a large seismological dataset from the Mesopotamian Network (MP) and the Iranian Seismological Center (IRSC) was analyzed to relocate earthquakes with magnitude Mw ≥ 4 for the period between August 2014 and April 2021 that occurred in the Outer Arabian Platform of Iraq. The Computer Programs in Seismology (CPS) wrer used for this purpose. The iterative method was applied to relocate earthquakes. The magnitude of these earthquakes was also calculated using MbLG. The results of relocating 222 earthquakes are presented in this study. The results show that using seismic stations from the Mesopotamian Network and the Iranian Seismological Center enhance the earthquake locations due to the good geographical distribution of stations and closer epicentral distances. In addition, using the proper velocity model is important, especially for earthquakes located in the Mesopotamia Plain.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".