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Record W4238028415 · doi:10.1109/bec.2014.7320541

Preface

2014· article· en· W4238028415 on OpenAlexaboutno aff
Toomas Rang

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicDistributed and Parallel Computing Systems
Canadian institutionsnot available
Fundersnot available
KeywordsPresentation (obstetrics)Library scienceCzechElectronicsTelecommunicationsEngineeringPolitical scienceComputer scienceElectrical engineering

Abstract

fetched live from OpenAlex

In October the scientists from many countries assembled in Tallinn University of Technology to participate at the 14th Baltic Electronics Conference (BEC2014). With this act we continue the long living tradition already over the 25-year BEC conference series initiated in 1987. The BEC2014 conference was held in Tallinn and Laulasmaa. The main organizers were the Thomas Johann Seebeck Department of Electronics together with the Department of Computer Engineering of Tallinn University of Technology (TUT). Support was given by the TUT Technomedicum, and Departments of Computer Science, and of Electrical Engineering. The IEEE Circuits and Systems branch gave the technical sponsorship to our conference. The Competence Centre in Electronics, Info- and Communication Technologies ELKO supported our event from the side of industry and the Laulasmaa Spa Resort gave us many benefits to run our conference in the very nice landscape at the Baltic Sea not very far from Tallinn. In response to the call for papers the International Program Committee we received over 70 papers, mostly from Estonia, Latvia, Lithuania, Hungary, Finland, Sweden, Czech Republic, Slovenia, Germany, Russia, and Poland, but even from USA, Canada, Great Britain, France, Spain, Netherlands, Denmark, Ukraine, Egypt and Algeria. Finally the Conference program featured 8 invited papers and 58 papers for oral presentation. The conference continues the tradition to be the forum for the presentation of the latest research and development results in the area of electronics, micro- and nanotechnologies, embedded systems, dependable computing, signal processing, and RF electronics in the Baltic Sea Region and wider. The conference attracted contributions covering design, analysis, simulation, optimization, and process simulation in component and system electronics, microsystems technology, and embedded systems. All of the papers in the conference proceedings have been directly reproduced from the materials submitted by the authors and all accepted papers will be referred by the IEEEXplore Database.

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)0.009
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: Not applicable
GenreCandidate signal: Editorial · Consensus signal: none
Teacher disagreement score0.500
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.009
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0030.001
Scholarly communication0.0050.004
Open science0.0020.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.5000.355

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 head0.006
GPT teacher head0.198
Teacher spread0.192 · 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
GenreEditorial

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
Published2014
Admission routes1
Has abstractyes

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