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Record W4220978347 · doi:10.1109/icjece.2021.3138668

Table of Contents

2022· article· en· W4220978347 on OpenAlexvenueno aff
Xin Guan, Wei Gao, H. Peng, N Shu, Dongxia Gao, A Hernandez-Robles, Xiomara González-Ramírez, Néstor Daniel Galán Hernández, Juan M. Ramı́rez, Omar Abu-Rub, Qasim Khan, Shady S. Refaat, Hazem Nounou, Dogancan Celen, S Partal, Reza Taghavi, Haidar Samet, Ali Reza Seifi, Ziad M. Ali, Rajesh Kannan Megalingam, Ashwin Kashyap Nellutla, Sriteja Gone, Sakthiprasad Kuttankulangara Manoharan, Sreekanth Makkal Mohandas, S Vadivel, CM Pavan Kumar Reddy

Bibliographic record

VenueCanadian Journal of Electrical and Computer Engineering · 2022
Typearticle
Languageen
FieldEngineering
TopicEngineering and Technology Innovations
Canadian institutionsnot available
Fundersnot available
KeywordsTable (database)Computer scienceDatabase

Abstract

fetched live from OpenAlex

Optimization of Three-Phase Feeder Load Balancing Using Smart Meters Optimisation de l'quilibrage de la charge d'une alimentation triphase l'aide de compteurs intelligents L. Alhmoud and W. Marji 18 Investigation on Connected System of Axial-Flux Permanent Magnet Synchronous Generator and Linear Induction Motor tude du systme connect d'un gnrateur synchrone aimant permanent avec un flux axial et d'un moteur induction linaire Y.-S.

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 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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.197
Threshold uncertainty score0.294

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.005
GPT teacher head0.144
Teacher spread0.139 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

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
Published2022
Admission routes1
Has abstractyes

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