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Record W2358059382

Study on Tunnel Supporting Frame for Nuclear Magnetic Resonance Detecting Impact

2014· article· en· W2358059382 on OpenAlex

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

VenueResearch and Exploration in Laboratory · 2014
Typearticle
Languageen
FieldComputer Science
TopicSensor Technology and Measurement Systems
Canadian institutionsL'Alliance Boviteq
Fundersnot available
KeywordsInductanceExcitationElectromagnetic coilFrame (networking)TransformerMagnetic fieldElectrical engineeringNuclear magnetic resonanceEngineeringAcousticsPhysicsMaterials scienceTelecommunicationsVoltage
DOInot available

Abstract

fetched live from OpenAlex

The tunnel supporting frame has a strong impact on the nuclear magnetic resonance detecting. The emission current decreases,at the same time,the establishment of the excitation field and the reception of the signal are also influenced,hence,the detection results is imprecise. Combining with the transformer model,through Kirchhoff's current law,the relationship is obtained between the increasing amount of resistance of emission coin and the decreasing amount of inductance and the supporting frame resistance and inductance. The mutual inductance of supporting frame and the transmitter coil is calculated. According to the addition and the reduction,the resistance and inductance are calculated.Demonstrated by experiment,the measured and calculated results are consistent,the results provide a basis for the inversion of NMR signals.

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.288
Threshold uncertainty score0.343

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.103
GPT teacher head0.372
Teacher spread0.269 · 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