{"id":"W4392979907","doi":"10.1109/mie.2024.3352176","title":"Table of Contents","year":2024,"lang":"en","type":"article","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","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":[],"consensus_categories":[],"category_scores_codex":[0.0001001993,0.0001167724,0.0001577077,0.0002090985,0.00001609611,0.00001804218,0.0001262493,0.0002128592,0.00003996517],"category_scores_gemma":[0.00003366935,0.0001210529,0.00003714299,0.0008231252,0.00002797732,0.00007581997,0.000007872848,0.0005588913,0.00007086228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006600451,"about_ca_system_score_gemma":0.00005452779,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002948444,"about_ca_topic_score_gemma":0.000004948319,"domain_scores_codex":[0.9992769,0.000004224602,0.0002380681,0.0001114003,0.00009319634,0.000276201],"domain_scores_gemma":[0.999719,0.00003758914,0.00001338224,0.0001665487,0.00003840507,0.00002504573],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001604611,0.00005733024,0.0001451419,0.0001714027,0.0005817257,0.00003406026,0.00004310237,0.0593166,0.6169409,0.0837068,0.1940644,0.04492248],"study_design_scores_gemma":[0.0007525451,0.0001885647,0.00002088928,0.0001596788,0.00006307923,0.00003351173,0.00000526326,0.06660527,0.3584931,0.001803124,0.5715467,0.0003282544],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8904582,0.01545842,0.04072862,0.00112431,0.01024124,0.0006696517,0.000175475,0.00712168,0.03402244],"genre_scores_gemma":[0.9985791,0.0001477781,0.0001075145,0.000005960839,0.000207828,0.00001611876,0.00001441608,0.00003655488,0.0008846597],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3774823,"threshold_uncertainty_score":0.4936392,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02193157758089908,"score_gpt":0.22655989671611,"score_spread":0.2046283191352109,"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."}}