{"id":"W4360830133","doi":"10.1109/mie.2023.3244462","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001330255,0.001133667,0.001052993,0.002801345,0.001706812,0.008967626,0.001741302,0.002639888,0.8822086],"category_scores_gemma":[0.006368659,0.00061779,0.0007192718,0.002422322,0.0005445656,0.004547398,0.002686661,0.001956125,0.8474566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009191837,"about_ca_system_score_gemma":0.002052076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001071361,"about_ca_topic_score_gemma":0.002033267,"domain_scores_codex":[0.9987807,0.0000916946,0.0000843546,0.0002397097,0.0006808494,0.0001228131],"domain_scores_gemma":[0.9942548,0.0006320855,0.0002920488,0.0007756902,0.002310121,0.001735213],"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":[0.00004058682,0.00001684114,0.00007958124,0.0001439791,0.000003124065,0.00006244074,0.00002550096,0.00002399578,0.0003533043,0.001437077,0.9307826,0.06703106],"study_design_scores_gemma":[0.000005959706,0.00001013247,0.000136316,0.0000419672,0.000001547098,0.00003982042,0.00001884176,0.00001953294,0.0001042768,0.0004234219,0.999195,0.000003300635],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0006349362,0.002770147,0.002224551,0.008684075,0.0293496,0.0002623424,0.01062502,0.005242934,0.9402064],"genre_scores_gemma":[0.001372434,0.001174236,0.0004002078,0.001182794,0.003159826,0.00004097066,0.003531875,0.001005388,0.9881322],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1177914,"threshold_uncertainty_score":0,"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."}}