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Record W2362365011

Mutifunction System-V6 and Its Effectiveness in Csamt Exploration

2002· article· en· W2362365011 on OpenAlexaboutno aff
Qingyun Di

Bibliographic record

VenueProgress in geophysics · 2002
Typearticle
Languageen
FieldEngineering
TopicGeoscience and Mining Technology
Canadian institutionsnot available
Fundersnot available
KeywordsGeologyInterference (communication)TransmitterPower (physics)Global Positioning SystemNoise (video)Remote sensingTelecommunicationsComputer scienceArtificial intelligence
DOInot available

Abstract

fetched live from OpenAlex

Ruggtdized multifunction V6 system was introduced by Institute of Geology and Geophysics, Chinese Academy of Sciences from Canada Phoenix Geophysics Limited in 2000. It is one of the most powerful instruments for controlled source audio-frequency magneto-telluric exploration. It has 62 frequency series, Strong transmittal power and strong ability of anti-noise (anti-interference). It also has fast 512kHz 16-bit ADC plus minimum 8 gain bits for controlled source. The transmitter and recever are synchronized with GPS. These feature makes it has advantage of monitoring much weak effective with high vertical and horizontal resolution and high ratio of signal noise. Hence it can be used to make high precise exploration. Case studies in standart geological profile near Niulanshan water power station and in Laiwu iron mine shandon province with V6 system show that V6 system can carectly determin the depth of objective layer and the distribution and structures of water bearing stratum.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.017
GPT teacher head0.213
Teacher spread0.195 · 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 designBench or experimental
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

Citations1
Published2002
Admission routes1
Has abstractyes

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