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Record W4386858177 · doi:10.1109/mie.2023.3307213

Masthead

2023· paratext· en· W4386858177 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueIEEE Industrial Electronics Magazine · 2023
Typeparatext
Languageen
FieldEngineering
TopicEngineering and Technology Innovations
Canadian institutionsnot available
FundersNanjing UniversityUniversidad de ZaragozaUniversità degli Studi di SalernoUniversidade de VigoNanjing University of Posts and TelecommunicationsDanmarks Tekniske UniversitetUniversità di CataniaUniversità degli Studi di PaviaTechnische Universiteit DelftAalborg UniversitetPolitechnika WarszawskaHarbin Institute of TechnologySwinburne University of TechnologyGriffith UniversityUniversitatea Tehnică „Gheorghe Asachi” din IaşiUniversità degli Studi di PadovaUniversidade de LisboaÉcole de technologie supérieureCity University of Hong KongKeio University
KeywordsComputer scienceEngineering

Abstract

fetched live from OpenAlex

SCOPE-IEEE Industrial Electronics Magazine (IEM)publishes peer-reviewed articles that present emerging trends and practices in industrial electronics product research and development, key insights, and tutorial surveys in the field of interest to the membership of the IEEE Industrial Electronics Society (IEEE/IES).IEM is limited to the scope of the IES, which is given as theory and applications of electronics, controls, communications, instrumentation, and computational intelligence to industrial and manufacturing systems and processes.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesResearch integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.105
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0010.044

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 head0.243
Teacher spread0.213 · 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