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Record W4391407092 · doi:10.1109/access.2024.3351510

Editor-in-Chief

2024· article· en· W4391407092 on OpenAlexafffund
Derek Abbott, Sonia Aı̈ssa, Anuradha Annaswamy, Nirwan Ansari, Jun Cai, Kun‐Shan Chen, Yixin Chen, J.‐C. Chiao, Ayman El‐Baz, Shaikh Anowarul Fattah, Hoay Beng Gooi, Maya Gokhale, I Chih‐Lin, Giuseppe Iannaccone, Yumi Iwashita, Bruce Jacob, Abbas Jamalipour, Bahram Javidi, Weihua Jiang, Okyay Kaynak, Hülya Kırkıcı, Germano Lambert‐Torres, Shengtao Li, Michał Mrozowski, Michele Nappi, Dalma Novak, Hugo Proença, Yi Qian, Zhihua Qu, Susanto Rahardja, Mehrdad Saif, Ali Serpengüzel, Peter H. Siegel, A. Trebi‐Ollennu, Daniela Tuninetti, Ge Wang, Keith A. Wear, Andreas Weisshaar, C. Patrick Yue, Enrico Zio

Bibliographic record

VenueIEEE Access · 2024
Typearticle
Languageen
FieldComputer Science
TopicEducational Robotics and Engineering
Canadian institutionsUniversity of WindsorConcordia UniversityInstitut National de la Recherche Scientifique
FundersFonds de recherche du Québec – Nature et technologiesNatural Sciences and Engineering Research Council of CanadaMemorial Sloan-Kettering Cancer CenterTechnische Universität MünchenMicrosoft ResearchU.S. Department of EnergyNational Institutes of HealthNational Science Foundation
KeywordsComputer scienceEditor in chiefManagement

Abstract

fetched live from OpenAlex

she is currently a Full Professor and known as one of

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)0.012
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: none
Teacher disagreement score0.828
Threshold uncertainty score0.577

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.012
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0040.002
Open science0.0010.001
Research integrity0.0040.003
Insufficient payload (model declined to judge)0.1720.118

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 head0.019
GPT teacher head0.300
Teacher spread0.281 · 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

Citations0
Published2024
Admission routes2
Has abstractyes

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