ASSESSMENT OF THE QUALITY FACTOR OF LITHOSPHERE FOR THE LENA DELTA (LAPTEV SEA REGION)
Bibliographic record
Abstract
The parameters of strong ground motions necessary for seismic hazard assessing of construction sites have pronounced regional differences. In inaccessible and poorly studied areas, the development of a ground motion prediction equation (GMPE) requires determination of regional characteristics of the radiation and propagation of seismic waves, in particular, the quality factor of the lithosphere. This work is devoted to determination of the quality factor and its frequency dependence for the Lena Delta, one of the key areas of the Laptev Sea region, the most seismically active of all Arctic marine regions of Russia. For this purpose, the coda normalization method was used in relation to signals from 5 microearthquakes with Ml > 2, recorded by a temporary local network of seismographs operating in the Lena Delta in 2016-2017. Regional values of quality factor Q = 486�42 were obtained. The scatter of values is probably due to the anisotropy of the environment in the study area. The dependence of the quality factor on frequency is described by the found function Q(f) = 84.328f0.8128. The exponent in this relationship is comparable to the values typical for regions of Mexico, Australia and Canada.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".