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Record W2152714471 · doi:10.1109/eeei.2000.924360

Deep Earth detection by EM signals

2002· article· en· W2152714471 on OpenAlexaboutno aff
P. Turovsky, Shlomo Zach

Bibliographic record

Venue21st IEEE Convention of the Electrical and Electronic Engineers in Israel. Proceedings (Cat. No.00EX377) · 2002
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicEarthquake Detection and Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsTransient (computer programming)WaveformSIGNAL (programming language)PhysicsAcousticsTransmitterLimit (mathematics)VoltageElectrical engineeringTransient responseOpticsComputer scienceEngineeringMathematicsMathematical analysis

Abstract

fetched live from OpenAlex

The basis of the measurement is the reflected signal from the Earth in response to the injected electromagnetic (EM) waveform. The detection of natural resources (such as oil and gas) and pre-earthquake indications by EM signals was pioneered in Canada and the former USSR in 1958. Today this method is used worldwide. The transmitter generates the EM signal, by switching the current into a double pole. The shape of the EM signal determines the amount of information received in the reflected wave from the target area. Detection starts after decay of the transient in the double pole, which means that the transient time-constant should be minimal. The time response is determined principally by the inductive reactance of the double pole. To the best of our knowledge, no electric system that handles more than 200 amperes exists, because of the self induced voltage caused by the transient phenomena in the double pole. We suggest a new circuit to overcome the 200 ampere limit, and thus extend the detected depth.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.005
GPT teacher head0.168
Teacher spread0.163 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

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".

Quick stats

Citations5
Published2002
Admission routes1
Has abstractyes

Explore more

Same venue21st IEEE Convention of the Electrical and Electronic Engineers in Israel. Proceedings (Cat. No.00EX377)Same topicEarthquake Detection and AnalysisFrench-language works237,207