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Record W2790420140 · doi:10.1071/aseg2018abt4_1f

Particularities of 5-component magnetotelluric soundings application for mineral exploration

2018· article· en· W2790420140 on OpenAlex
И. Ингеров, E. Ermolin, Sergei Belyakov

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueASEG Extended Abstracts · 2018
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeophysical and Geoelectrical Methods
Canadian institutionsAgnico Eagle (Canada)
Fundersnot available
KeywordsMineral explorationMagnetotelluricsGeologyProspectingExploration geophysicsCrustDrillingMantle (geology)MassifDikeRemote sensingGeophysicsMining engineeringGeochemistryEngineeringElectrical resistivity and conductivityElectrical engineering

Abstract

fetched live from OpenAlex

In the application of electroprospecting for mineral exploration, there are few clearly observed trends based on the development of electroprospecting technologies, hardware, software and computer technologies aimed at: a) the increase of electroprospecting application in comparison with other EM methods; b) application of electroprospecting at all stages of the exploration cycle; c) the increase of application of induction electroprospecting methods and, first of all, these which are based on the study of the natural EM field of the Earth (NEMFE). A special role here is played by the method of Broadband Magnetovariational Profiling (BMVP).Three stages in the application of electroprospecting are quite clearly distinguished: a) exploration for new mining provinces according to the distribution of resistivity in the Earth’s crust and upper mantle (the AusLAMP project, a revolutionary idea proposed by Australian scientists; deep MT, scale 1 : 5,000 000 - 1 : 1,000 000); b) exploration for large conductive ore bodies, areas with a prospecting survey square area of more than 100 km2 by airborne geophysics, for areas with smaller size - 5-component AMT on a scale of 1 : 200,000 - 1 : 50,000; c) detailization and support of drilling operations, mapping of veins and dikes - 5-component AMT on the scale 1 : 20,000 - 1 : 5,000 in complex areas with induction and geometric soundings using control source if Induced Polarization is an exploration factor.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.993
Threshold uncertainty score0.333

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.024
GPT teacher head0.260
Teacher spread0.237 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it