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Record W2124613397 · doi:10.1109/cpem.1990.110082

A broadband E-field sensor

2002· article· en· W2124613397 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

VenueConference on Precision Electromagnetic Measurements · 2002
Typearticle
Languageen
FieldEngineering
TopicMicrowave and Dielectric Measurement Techniques
Canadian institutionsHealth CanadaUniversity of Ottawa
Fundersnot available
KeywordsAntenna (radio)AmplifierSensitivity (control systems)BroadbandWidebandPhysicsElectrical impedanceElectrical engineeringOpticsMaterials scienceOptoelectronicsAcousticsElectronic engineeringEngineering

Abstract

fetched live from OpenAlex

A broadband (10-kHz-350-MHz) E-field sensor based on an electrically small antenna for measurements of transient fields has been developed. The antenna is coupled to a receiver using a wideband buffer amplifier. The sensitivity of the sensor depends on the size of the antenna, while the broadband performance is determined by the size of the antenna, the input impedance of the amplifier, and the coupling between the two devices. The sensor is calibrated in a TEM (transverse electromagnetic) cell using CW (continuous-wave) and pulsed fields. Results of an analysis and calibration of the sensor are presented. For a sphere of 9.6-cm diameter coupled with a 1-M Omega microprobe, the sensor provides a flat response with sensitivity of 1 mV/(V/m) from 10 kHz to 350 MHz. The risetime of the output pulse is less than 500 ps. The dynamic range of the sensor is expected to be on the order of 80 dB.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
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 score0.665
Threshold uncertainty score1.000

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)0.0050.001

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 head0.074
GPT teacher head0.248
Teacher spread0.174 · 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