Geophysical research at the Revda intersection of the Serov-Mauk regional fault
Bibliographic record
Abstract
Research aim is to study the characteristic features of geophysical fields over the main geological structures in the zone of influence of the Serov-Mauk regional fault in the Middle Urals. Methodology. Electromagnetic studies included an express version of audiomagnetotelluric sounding (AMT) with a broadband OMAR-2m receiver (Institute of Geophysics UB RAS, Ekaterinburg). Office processing is based on obtaining frequency spectra of impedance using fast Fourier transform, and their transformation into deep sections of electrophysical parameters of the medium. Magnetic prospecting was carried out using GEM GSM-19T proton magnetometer (GEM Systems, Canada). Gamma-field survey was carried out with a survey radiometer SRP-68-01 (Electron, Zhovti Vody). Results. Based on observation processing results, high-quality sections of electrical resistivity and effective longitudinal conductivity were constructed on the parametric profile, as well as graphs of magnetic and radiation fields. The studies revealed features of change in the electrophysical parameters and potential fields over various geological structures of the near-contact fault zone. Summary. The signs of the main geologic features border lines were identified by changes in physical properties. The lithological and tectonic boundaries have been identified of a complex rock assemblage adjacent to the regional fault according to the characteristic anomalies of geophysical parameters. Geophysical survey results comply with the real geological conditions of the study 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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".