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Record W4253260668 · doi:10.1109/fpl50879.2020.00008

Technical Program Committee

2020· article· en· W4253260668 on OpenAlexfundno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicEngineering Education and Pedagogy
Canadian institutionsnot available
FundersSamsungUniversität PaderbornTechnische Universität IlmenauBarcelona Supercomputing CenterTechnische Universität DarmstadtLawrence Livermore National LaboratoryTechnische Universität MünchenRitsumeikan UniversityUniversitetet i OsloUniversity of WaterlooBrigham Young UniversityUniversity of British ColumbiaNational and Kapodistrian University of AthensCentre National de la Recherche ScientifiqueSimon Fraser UniversityUniversity of PatrasUniversidad Politécnica de MadridQueen's UniversityInstitut national de recherche en informatique et en automatique (INRIA)Eidgenössische Technische Hochschule ZürichUniversity of PennsylvaniaTechnische Universität DresdenVysoké Učení Technické v BrněMicrosoft ResearchTechnische Universiteit DelftUniversität HeidelbergUniversiteit van AmsterdamTechnische Universiteit EindhovenUniversity of CreteUniversity of New South WalesUniversité de Rennes 1Universiteit GentÉcole Polytechnique Fédérale de LausanneUniversity of BristolUniversiteit LeidenBrandenburgische Technische Universität Cottbus-SenftenbergUniversity of ManchesterInstituto Nacional de Astrofísica, Óptica y ElectrónicaUniversity of WarwickTrinity College DublinQueen's University BelfastTechnische Universität KaiserslauternImperial College LondonRijksuniversiteit GroningenNational Technical University of AthensUniversity of LeicesterUniversità degli Studi di SienaNazarbayev UniversityPolitecnico di TorinoNorthwestern UniversityNational Tsing Hua UniversityUniversité Bretagne SudAmrita Vishwa Vidyapeetham UniversityUniversity of SydneyUniversität KasselTrakya ÜniversitesiCarnegie Mellon University
KeywordsComputer science

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)0.008
metaresearch head score (Gemma)0.011
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 score0.507
Threshold uncertainty score0.723

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.011
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.002
Science and technology studies0.0030.001
Scholarly communication0.0060.002
Open science0.0020.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.4930.446

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 head0.029
GPT teacher head0.285
Teacher spread0.256 · 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
Published2020
Admission routes1
Has abstractno

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