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Record W3008699899 · doi:10.23977/jeis.2020.51002

Discussion on the effective application of transmission technology in information and communication engineering

2020· article· en· W3008699899 on OpenAlexvenueno aff
Kangye Han, Xuening Li, Wenlu Gao

Bibliographic record

VenueJournal of Electronics and Information Science · 2020
Typearticle
Languageen
FieldComputer Science
TopicTechnology and Security Systems
Canadian institutionsnot available
Fundersnot available
KeywordsInformation transmissionTransmission (telecommunications)Computer scienceInformation and Communications TechnologyInformation technologyTelecommunications engineeringOrder (exchange)Engineering managementTelecommunicationsRisk analysis (engineering)EngineeringBusinessWorld Wide WebComputer network

Abstract

fetched live from OpenAlex

At present, with the continuous development of social economy, information and communication engineering has also been greatly improved. In order to better meet the development needs of the information age, China's information and communication engineering should fully apply the transmission technology, so as to better promote the development of information engineering. However, there are still some problems in the application of transmission technology in information and communication engineering in China. Therefore, relevant researchers should analyze the application of transmission technology in information and communication engineering, and take effective countermeasures to solve these problems and improve the application level of transmission technology. Based on the analysis of the characteristics of transmission technology, this paper expounds the specific application of transmission technology in information and communication engineering, hoping to play some reference role for relevant staff, so as to better play the role of transmission technology.

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)0.005
metaresearch head score (Gemma)0.007
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: Commentary · Consensus signal: none
Teacher disagreement score0.009
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.002
Science and technology studies0.0040.003
Scholarly communication0.0040.008
Open science0.0010.001
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0090.001

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 head0.003
GPT teacher head0.199
Teacher spread0.196 · 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
GenreCommentary

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
Published2020
Admission routes1
Has abstractyes

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