{"id":"W4386858177","doi":"10.1109/mie.2023.3307213","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":[0.0008949993,0.0009055249,0.0009092517,0.00198792,0.001724059,0.006148025,0.001507739,0.00259778,0.8600528],"category_scores_gemma":[0.004938348,0.0005000615,0.0006558735,0.001880901,0.0004819744,0.004089128,0.002532586,0.002247493,0.787264],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001063472,"about_ca_system_score_gemma":0.001672299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001758564,"about_ca_topic_score_gemma":0.003147001,"domain_scores_codex":[0.9991401,0.00007186981,0.00005405207,0.0001586874,0.0004737946,0.0001013499],"domain_scores_gemma":[0.9957855,0.000465723,0.0001639047,0.0004595279,0.002190264,0.0009350555],"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":[0.0000164338,0.000009784605,0.00004925063,0.00006382525,8.305889e-7,0.0000339661,0.00001893091,0.00002152446,0.0001328451,0.0014742,0.9659779,0.0322005],"study_design_scores_gemma":[0.000003849169,0.000008301172,0.0001233142,0.0000442631,8.37921e-7,0.00003688374,0.00002213112,0.00001958443,0.00006372464,0.0004803819,0.9991946,0.000002212984],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003708661,0.00169453,0.001415306,0.006838389,0.01861969,0.0002297235,0.004891384,0.001943607,0.9639965],"genre_scores_gemma":[0.001371162,0.0007152706,0.0002778713,0.001210707,0.00229497,0.00004703671,0.001929961,0.0005327284,0.9916204],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1399472,"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."}}