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Record W4200222077 · doi:10.1109/mra.2021.3122246

Table of Contents

2021· article· en· W4200222077 on OpenAlexfundno aff
Andrei Mitriakov, Panagiotis Papadakis, Jérôme Kerdreux, Serge Garlatti, Wei Yuan, Yueyuan Li, Hanyang Zhuang, Chunxiang Wang, Yang Ming, Yeongjin Kim, Ryeol Lee, Sungjun Kim, T J Campos Espinosa de, S. de la Rosa, Yujin Gong, Chaneun Park, Jae-Han Wang, Kiwon Park, Jung-Yup Kim, Dongjun Shin, Pose-Based Tactile, Nathan F. Lepora, John W. Lloyd, Claudia D’Ettorre, Andrea Mariani, Agostino Stilli, Ferdinando Rodriguez y Baena, Pietro Valdastri, Anton Deguet, Peter Kazanzides, Russell H. Taylor, Gregory S. Fischer, Simon DiMaio, Arianna Menciassi, Danail Stoyanov, Alessandra Sciutti, Fiorella Battaglia, Maria Rosanna Fossati, Valentina Calderai, Manuel G. Catalano, Gianluca Antonelli, Giorgio Di, Nevio Dubbini, L. Giarré, Emanuele Mene Gatti, Francesca Negr Ello, Federica Pasc Ucci, Monica Pivetti, Andrea Za Nc Hettin, Arturo Baro Ncelli, Salvatore Majo Rana, Carlo Marc, Bruno Sici Liano, Paolo Rocc, Giorgio Mett, Claudio Melc Hiorri, Cecilia Lasc Hi, Eugenio Gugl Ielmelli, Alessandro De L Uca, Paolo Dari, Antonio Bicc

Bibliographic record

VenueIEEE Robotics & Automation Magazine · 2021
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicDiverse Scientific and Economic Studies
Canadian institutionsnot available
FundersUniversity of TorontoUniversity of Hong KongOklahoma State UniversityTsinghua UniversityMonash UniversityVrije Universiteit BrusselClemson University
KeywordsTable (database)Computer scienceDatabase

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

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)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.143
Threshold uncertainty score0.204

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0050.003
Science and technology studies0.0020.000
Scholarly communication0.0040.002
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.8570.832

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 head0.046
GPT teacher head0.227
Teacher spread0.181 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

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".

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Citations0
Published2021
Admission routes1
Has abstractno

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