{"id":"W4312050794","doi":"10.1109/mie.2022.3212608","title":"Table of Contents","year":2022,"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":"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":"Table (database); Computer science; Database","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":["insufficient_payload"],"category_scores_codex":[0.00067684,0.000899827,0.0008597264,0.004170841,0.001446565,0.005021662,0.001361156,0.0009815085,0.7178438],"category_scores_gemma":[0.007391334,0.0003047629,0.0004801759,0.003549874,0.0003400673,0.002876896,0.001667726,0.001423917,0.665774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001682587,"about_ca_system_score_gemma":0.003238017,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003453397,"about_ca_topic_score_gemma":0.003118377,"domain_scores_codex":[0.9992174,0.00006770933,0.00005337683,0.0001373372,0.0004617598,0.00006235838],"domain_scores_gemma":[0.9949129,0.0005249007,0.0002099764,0.0002895291,0.003334157,0.0007286378],"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":[0.00001724256,0.00002128313,0.0001998607,0.0003133208,0.00000329573,0.0000281174,0.0000228493,0.0001023024,0.0002445767,0.002159772,0.9322414,0.06464602],"study_design_scores_gemma":[0.000002922226,0.00001156446,0.0003223305,0.0002369182,0.000003187858,0.00006117601,0.0000259183,0.00003369633,0.00007947225,0.0007269116,0.9984915,0.000004274589],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0007681391,0.009318363,0.002663788,0.007071012,0.01672626,0.0005207142,0.03103224,0.002069642,0.9298298],"genre_scores_gemma":[0.005695545,0.01449885,0.002593628,0.004777622,0.009573236,0.0003937344,0.03953683,0.001272757,0.9216577],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2821562,"threshold_uncertainty_score":0.4024615,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02177478126331125,"score_gpt":0.2102453591932635,"score_spread":0.1884705779299523,"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."}}