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Record W1872830486 · doi:10.1109/ccece.1995.526570

Microwave measurements of reflection coefficients according to angle of incidence with the aid of a bistatic configuration

2002· article· en· W1872830486 on OpenAlexaff
Michel Lefebvre, Dominic Grenier

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicMicrowave Engineering and Waveguides
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsDirectivityOpticsReflection (computer programming)Horn antennaReflection coefficientMeasure (data warehouse)Context (archaeology)Bistatic radarAcousticsAngle of incidence (optics)Lossy compressionDirectional antennaComputer sciencePhysicsSlot antennaAntenna (radio)RadarTelecommunicationsRadar imagingGeology

Abstract

fetched live from OpenAlex

A technique deploying two horn antennas in bistatic configuration is used to measure coefficients of reflection from surfaces having anisotropic properties. In a context where a high degree of exactitude is not strictly necessary, the method or strategy developed by the authors gives rapidly an idea of the true behaviour of reflection coefficients with respect to the angle of incidence. This is convenient for restricted budgets since it uses conventional apparatus to measure relative powers. The modulus of the reflection coefficient is measured directly with the aid of matched lenses used to improve the directivity of the radiation and hence to block direct coupling between the antennas. On the other hand it is shown that with less directive antennas the direct path can be used knowingly to measure the phase. Edge effects causing diffraction and multiple reflections should be negligible. In order to verify its effectiveness the method has been studied in detail on samples of slightly lossy dielectric materials backed with a metallic plate.

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: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.032
GPT teacher head0.234
Teacher spread0.202 · 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
Published2002
Admission routes1
Has abstractyes

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