{"id":"W4293074580","doi":"10.1109/mie.2022.3166359","title":"Masthead","year":2022,"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; 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","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":["insufficient_payload"],"category_scores_codex":[0.0002045759,0.0005338077,0.0005724889,0.0006279284,0.0001347009,0.00004681082,0.0006183196,0.001153655,0.00886714],"category_scores_gemma":[0.00004376946,0.0006429116,0.0001429062,0.001221528,0.00004955629,0.00006383179,0.00005754241,0.004770748,0.007213064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008761479,"about_ca_system_score_gemma":0.0003329657,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003876848,"about_ca_topic_score_gemma":0.000008479388,"domain_scores_codex":[0.9978828,0.00002913485,0.0005371289,0.0003785706,0.000303821,0.0008685702],"domain_scores_gemma":[0.999054,0.00007667967,0.00009381931,0.0006499774,0.00005147051,0.00007410331],"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":[0.000006974805,0.00002275233,5.432679e-7,0.00003137876,0.0002011274,0.00001094791,0.000007018577,0.08148178,0.00193676,0.0006580656,0.9090416,0.006601091],"study_design_scores_gemma":[0.000465919,0.0001544965,5.034033e-7,0.00004102218,0.00005272971,0.00003866671,0.000002847454,0.001318519,0.002350656,0.00008514048,0.9949048,0.0005847245],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.008679792,0.02140331,0.006949562,0.001233232,0.06160222,0.00172032,0.001834057,0.005922441,0.890655],"genre_scores_gemma":[0.1081936,0.009274774,0.000505643,0.0002736872,0.01150453,0.001550733,0.004724852,0.001514561,0.8624576],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.09951378,"threshold_uncertainty_score":0.9996022,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02123079339977178,"score_gpt":0.2287353039289594,"score_spread":0.2075045105291876,"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."}}