{"id":"W3196258207","doi":"10.1109/mim.2021.9513635","title":"DTCoach: Your Digital Twin Coach on the Edge During COVID-19 and Beyond","year":2021,"lang":"en","type":"article","venue":"IEEE Instrumentation & Measurement Magazine","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":65,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Identical twins; Domain (mathematical analysis); Computer science; Replica; Coronavirus disease 2019 (COVID-19); Enhanced Data Rates for GSM Evolution; Digital health; Artificial intelligence; Health care; Medicine; Disease; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003872075,0.0007797119,0.0004132533,0.001375508,0.005519189,0.008945759,0.001266786,0.003332045,0.1688892],"category_scores_gemma":[0.009753479,0.0004081404,0.000420714,0.001161895,0.002196809,0.01022958,0.01208679,0.004306694,0.0763147],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00190754,"about_ca_system_score_gemma":0.002975727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00404102,"about_ca_topic_score_gemma":0.01325211,"domain_scores_codex":[0.9978178,0.0004632936,0.00006712254,0.0003200217,0.0009206376,0.0004111229],"domain_scores_gemma":[0.9937698,0.0004865684,0.0001264136,0.000536334,0.00113903,0.003941849],"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":[0.00008916204,0.00001967067,0.0004829802,0.00005598651,0.000003241668,0.0001479281,0.001026047,0.00004084795,0.0003995184,0.01535377,0.9252422,0.05713854],"study_design_scores_gemma":[0.00000285181,0.00001148914,0.0001456193,0.00004217938,7.59656e-7,0.00006510846,0.000386273,0.00004293867,0.0001091363,0.001381418,0.9978059,0.000006428359],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.01031601,0.0159883,0.03493416,0.1614662,0.1119536,0.0004548107,0.004021967,0.008083916,0.652781],"genre_scores_gemma":[0.04779819,0.0045061,0.01306107,0.01835584,0.01114559,0.0002296076,0.002870416,0.004038548,0.8979946],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.1688892,"threshold_uncertainty_score":0.5649906,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06438447714673594,"score_gpt":0.2576053072873772,"score_spread":0.1932208301406412,"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."}}