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Record W2117691747 · doi:10.1109/mcas.2010.939782

On the Roots of Wireless Communications

2011· article· en· W2117691747 on OpenAlexaff
A. Antoniou

Bibliographic record

VenueIEEE Circuits and Systems Magazine · 2011
Typearticle
Languageen
FieldComputer Science
TopicUser Authentication and Security Systems
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsFaraday cageWirelessHertzElectrical engineeringKey (lock)Electromagnetic fieldElectromagneticsTelecommunicationsComputer scienceElectronic engineeringEngineeringMagnetic fieldPhysics

Abstract

fetched live from OpenAlex

Soon after the discovery and characterization of electromagnetic fields by Faraday and Thomson, the prediction by Maxwell that changing electrical fields will produce electromagnetic waves and, the experimental verification of their existence by Hertz, four enterprising innovators, namely, Tesla, Marconi, Fessenden, and De Forrest, and many others, designed the first generation of wireless communication systems. This article deals with some of the highlights of the key discoveries and inventions as well as the key players involved with the emergence of wireless communications.

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)0.002
metaresearch head score (Gemma)0.006
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: Review · Consensus signal: none
Teacher disagreement score0.007
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0030.012
Scholarly communication0.0050.011
Open science0.0010.003
Research integrity0.0030.007
Insufficient payload (model declined to judge)0.0070.003

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 head0.075
GPT teacher head0.254
Teacher spread0.179 · 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
GenreReview

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

Citations4
Published2011
Admission routes1
Has abstractyes

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