{"id":"W4405362494","doi":"10.1109/tce.2024.3415493","title":"Guest Editorial of the Special Section on Digital Twin and Metaverse for Consumer Health (MCH)","year":2024,"lang":"en","type":"editorial","venue":"IEEE Transactions on Consumer Electronics","topic":"Diverse Topics in Contemporary Research","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Section (typography); Special section; Metaverse; Computer science; Human–computer interaction; Engineering; Engineering physics; Virtual reality","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.001389887,0.0003936101,0.0005873806,0.0003084783,0.000981265,0.0003839202,0.0005592292,0.0009419904,0.00009025075],"category_scores_gemma":[0.0003823436,0.0003467645,0.0004245011,0.000485247,0.0008285961,0.0002741332,0.00000958342,0.002461452,0.00006122865],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001079183,"about_ca_system_score_gemma":0.006352168,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009004124,"about_ca_topic_score_gemma":0.005685402,"domain_scores_codex":[0.9956813,0.0003829325,0.0005457517,0.0007165591,0.001921952,0.0007514302],"domain_scores_gemma":[0.9961897,0.002348308,0.0002782749,0.000480768,0.0005023041,0.0002006232],"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":[0.0003782279,0.0001645546,0.000001458552,0.0001252056,0.000374017,0.000001228202,0.0008776438,0.00001189383,0.000004341138,0.0006492288,0.9917445,0.005667693],"study_design_scores_gemma":[0.0008424192,0.0005425751,1.967849e-7,0.0001429654,0.000181444,5.764422e-7,0.0003204311,0.000008612305,0.0001858221,0.0004213132,0.9970727,0.0002809459],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00009855227,0.0006485069,0.0003577656,0.0008172781,0.9900959,0.001488706,0.002489151,0.00009080554,0.003913401],"genre_scores_gemma":[0.003659866,0.002614556,0.00001460778,0.00003578169,0.9804004,0.0000981994,0.0000491715,0.00007835041,0.01304911],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.009695472,"threshold_uncertainty_score":0.9998984,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02762520195373099,"score_gpt":0.3358957005662167,"score_spread":0.3082704986124857,"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."}}