{"id":"W4392980172","doi":"10.1109/mie.2024.3352177","title":"Masthead","year":2024,"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":"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; Nanjing University; Tallinna Tehnikaülikool; Dalhousie University; 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":[0.0008892954,0.0009074744,0.0009154567,0.002001035,0.001715689,0.006106263,0.001516507,0.002576015,0.8628203],"category_scores_gemma":[0.004945235,0.0004970623,0.0006558032,0.001880094,0.0004783962,0.004105864,0.002541489,0.002227145,0.7904134],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001054609,"about_ca_system_score_gemma":0.001652079,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00173497,"about_ca_topic_score_gemma":0.003087052,"domain_scores_codex":[0.999143,0.00007237867,0.00005362694,0.00015684,0.0004733701,0.0001008509],"domain_scores_gemma":[0.9958085,0.0004698913,0.0001626351,0.0004612764,0.002172255,0.0009254699],"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":[0.00001637262,0.000009700263,0.00004817954,0.00006382215,8.284957e-7,0.00003310715,0.00001872839,0.00002158008,0.0001322691,0.001435172,0.9664536,0.03176666],"study_design_scores_gemma":[0.000003927087,0.000008305995,0.0001228045,0.0000445581,8.530562e-7,0.00003619032,0.00002225931,0.00001997366,0.00006445891,0.0004787745,0.9991956,0.000002227507],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003736789,0.0016852,0.00143128,0.006929644,0.01861373,0.00023078,0.005067399,0.001995583,0.9636727],"genre_scores_gemma":[0.001374517,0.0007104027,0.0002785311,0.001212725,0.002320647,0.00004775342,0.001988693,0.0005420031,0.9915248],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1371797,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02035918115078901,"score_gpt":0.2366539370651054,"score_spread":0.2162947559143164,"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."}}