Main Sections of the Earth Crust and Upper Mantle of the Greater Caucasus by New Technologies. 2. Deep Seismic Sounding, Micro Seismic Sounding
Bibliographic record
Abstract
The work reviews the possibility of application of the seismic tomography method for processing the materials of deep seismic sounding (DSS). It presents comparative results by various softwares as GeoGiga Seismic PRO 7.0 (Canada), XTomo-LM (St. Petersburg). The work shows the possibility of using tomography together with the data of the micro seismic sounding (MSS) method. The basic section of the Earth's crust and upper mantle by tomographic sections. It is determined that the cover of the foundation is strongly indented, i.e., all the foundation is fragmented into blocks, which are enclosed by the net of faults formed according to the gradient zones of speeds and fragmentation of speed inhomogeneity in the tomography section. The thickness of the earth crust under the Greater Caucasus increases to 60—70 km. It reveals the speed image obtained as a result of seismic tomography, earlier constructed speed models of the DSS profiles of Bakuriani—Stepnoye and Nakhchivan—Volgograd reinterpreted by Pavlenkova G. A, also correlative analysis of the method of deep seismic sounding (DSS) and the method of micro seismic sounding (MSS) of the profile of Tskhinval—Ardon.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".