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Record W2357477801

Coil'excited field in detection of tunnel water by MRS

2013· article· en· W2357477801 on OpenAlexaff
Chuandong Jiang

Bibliographic record

VenueProgress in geophysics · 2013
Typearticle
Languageen
FieldEngineering
TopicGeoscience and Mining Technology
Canadian institutionsL'Alliance Boviteq
Fundersnot available
KeywordsElectromagnetic coilExcited stateRADIUSEarth's magnetic fieldField (mathematics)OpticsMagnetic fieldPhysicsNuclear magnetic resonanceElectrical engineeringEngineeringMathematicsAtomic physicsComputer science
DOInot available

Abstract

fetched live from OpenAlex

The excited field numerical calculation method of coil is carried out,for water gushing from tunnel detecting forwards by Magnetic Resonance Sounding(MRS);the influence of excited field causing by geomagnetic inclination and the coil's orientation is analyzed.The calculation method of the coil's excited field in any point is deduced,with any geomagnetic inclination,level toward,vertical toward,coil diameter and circle number.The relationship between the excited field's value and the coil's rotation angle is deduced at different points.Different positions' excited field of 1 meter radius's coil's clockwise rotating are calculated,by comparing the excited field between vertical coil with 1 meter radius for 50 meters depth and level square coil with 100 meters side 100 meters depth,and the design method of circle number is obtained.The simulation results will provide reference for designing the circle number according to the coil angle and the depth in practical application.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.004
GPT teacher head0.189
Teacher spread0.186 · 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

Citations0
Published2013
Admission routes1
Has abstractyes

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