{"id":"W4386858177","doi":"10.1109/mie.2023.3307213","title":"Masthead","year":2023,"lang":"en","type":"paratext","venue":"IEEE Industrial Electronics Magazine","topic":"Engineering and Technology Innovations","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Nanjing University; Universidad de Zaragoza; Università degli Studi di Salerno; Universidade de Vigo; Nanjing University of Posts and Telecommunications; Danmarks Tekniske Universitet; Università di Catania; Università degli Studi di Pavia; Technische Universiteit Delft; Aalborg Universitet; Politechnika Warszawska; Harbin Institute of Technology; Swinburne University of Technology; Griffith University; Universitatea Tehnică „Gheorghe Asachi” din Iaşi; Università degli Studi di Padova; Universidade de Lisboa; École de technologie supérieure; City University of Hong Kong; Keio University","keywords":"Computer science; Engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.0001967547,0.00055281,0.0005964633,0.0007335081,0.00007616782,0.00005734593,0.0005153363,0.001890583,0.0006720059],"category_scores_gemma":[0.00007613502,0.0006308535,0.0001381878,0.00157803,0.00005694131,0.00006253282,0.00003545516,0.003420432,0.04447166],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004846888,"about_ca_system_score_gemma":0.0002652762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004305352,"about_ca_topic_score_gemma":0.00002429609,"domain_scores_codex":[0.997839,0.00001752638,0.0005548673,0.0003754109,0.000249877,0.00096331],"domain_scores_gemma":[0.9990323,0.0001047385,0.00008114146,0.0006219534,0.00007752085,0.00008231519],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000004312256,0.00001162488,3.54692e-7,0.00004517154,0.0002154782,0.00001168705,0.000005673643,0.04498914,0.002255236,0.0004687963,0.946272,0.005720511],"study_design_scores_gemma":[0.0004461424,0.0001018122,0.000001303605,0.0001530437,0.00005456464,0.00001889365,0.000001999571,0.002315494,0.004217129,0.0001650406,0.9919098,0.000614795],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01327302,0.01390482,0.01487558,0.002348277,0.1119815,0.002438006,0.002084451,0.02068628,0.818408],"genre_scores_gemma":[0.05124093,0.008625893,0.0002976863,0.0001046934,0.01220262,0.0006206754,0.002389642,0.001480181,0.9230376],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1046296,"threshold_uncertainty_score":0.9996143,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02935077985481412,"score_gpt":0.2427153184524799,"score_spread":0.2133645385976658,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}