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Record W1947876642 · doi:10.1002/0471219282.eot274

Millimeter‐Wave Antennas

2003· other· en· W1947876642 on OpenAlexaff
Zhizhang Chen

Bibliographic record

Venuenot available
Typeother
Languageen
FieldEngineering
TopicMicrowave Engineering and Waveguides
Canadian institutionsDalhousie University
Fundersnot available
KeywordsExtremely high frequencyDirectional antennaHorn antennaSuper high frequencyMillimeterReflective array antennaFresnel zone antennaFrench hornPhysicsComputer scienceSlot antennaOpticsTelecommunicationsAcousticsAntenna (radio)

Abstract

fetched live from OpenAlex

Abstract A comprehensive review of millimeter‐wave antennas for telecommunications is presented. Major advances have been made in the past two decades on the development of lens and horn antennas to optically controlled millimeter‐wave antennas. In particular, a number of new antennas, such as extended hemispherical lens antennas, printed circuit antennas, active integrated antennas as well as photoconducting antennas, have resulted in excellent performance in millimeter‐wave frequencies. An attempt is made to categorize various mm‐wave antennas and to summarize the associated developments. An introduction to the concept of millimeter‐wave frequency band and its application is also presented at the beginning.

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.025
Threshold uncertainty score0.082

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0250.030

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 head0.011
GPT teacher head0.189
Teacher spread0.178 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2003
Admission routes1
Has abstractyes

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