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Record W4247511623 · doi:10.1109/jsac.2019.2929719

IEEE Journal on Selected Areas in Communications

2019· article· en· W4247511623 on OpenAlexaff
Khaled B. Letaief, Raouf Boutaba, David Sheraton, J Bruttin, J Milizzo, Chen Chen, M Costa, Admela Jukan, Gunnar Karlsson, David Leith, Alberto Leon‐Garcia, L.B. Milstein, Mail Code, Michael Pursley, Christopher Rose, Sunetra Sarkar, Philippe Thiran, O.K. Tonguz, Penny Whiting, Aylin Yener, Moshe Zukerman, É Jos, Kathleen Kramer, Joseph Lillie, James Jefferies, Witold Kinsner, Francis Grosz, Geographic Activities, Robert Fish, Association Liu, Thomas Coughlin, Vijay K. Bhargava, Stephen Welby, Thomas Siegert, Business Administration, Julie Cozin, Corporate Governance, Donna Hourican, Jamie Moesch, Sophia Muirhead, Cherif Amirat, Karen Hawkins, Cecelia Jankowski, Michael Förster

Bibliographic record

VenueIEEE Journal on Selected Areas in Communications · 2019
Typearticle
Languageen
FieldComputer Science
TopicSensor Technology and Measurement Systems
Canadian institutionsCanadian Standards AssociationUniversity of TorontoUniversity of Waterloo
Fundersnot available
KeywordsComputer scienceTelecommunicationsComputer network

Abstract

fetched live from OpenAlex

and communication theory. In addition to the above, this JOURNAL ON SELECTED AREAS IN COMMUNICATIONS contains papers pertaining to analog and digital signal processing and modulation, audio and video encoding techniques, the theory and design of transmitters, receivers, and repeaters for communications via optical and sonic media, the design and analysis of computer communications systems, and the development of communication software. Contributions of theory enhancing the understanding of communication systems and techniques are included, as are discussions of the social implications of the development of communication technology. All members of the IEEE are eligible for membership in the society upon payment of the annual society membership fee of $33.00. Members may receive this publication upon payment of an additional $53.00 (electronic) and $140.00 (print and electronic).

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)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.906
Threshold uncertainty score0.314

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.004
Science and technology studies0.0010.001
Scholarly communication0.0040.002
Open science0.0010.001
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0940.055

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 head0.054
GPT teacher head0.302
Teacher spread0.247 · 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.

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

Citations2
Published2019
Admission routes1
Has abstractyes

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