{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002654536,0.0002420254,0.000160637,0.0001038612,0.0001943695,0.0004168649,0.0001358764,0.00007892548,0.0001980898],"category_scores_gemma":[0.0001125112,0.0002182283,0.00005894932,0.0002914382,0.00006656531,0.0007675596,0.00002077699,0.0002461527,0.0002123215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003916941,"about_ca_system_score_gemma":0.00008506174,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001316837,"about_ca_topic_score_gemma":0.00000905452,"domain_scores_codex":[0.9982584,0.00003782151,0.0004165145,0.0002424444,0.0007676366,0.0002771723],"domain_scores_gemma":[0.9993116,0.00005309367,0.00005675223,0.0002647903,0.0001175084,0.0001963005],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005773744,0.001775379,0.06931962,0.0047239,0.002216198,0.0003851842,0.01824559,0.1406926,0.4592029,0.02435777,0.1489529,0.1295505],"study_design_scores_gemma":[0.0168462,0.0004424748,0.06224697,0.000643794,0.0003064106,0.0007185625,0.01691647,0.007903489,0.6969443,0.003865002,0.1896723,0.003494059],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8882203,0.0001006861,0.002859865,0.003064074,0.0009581244,0.0004846305,0.0001444789,0.0003857108,0.1037822],"genre_scores_gemma":[0.9985508,0.0000357642,0.00008346276,0.0007139747,0.0001120468,0.00006627282,0.00006314618,0.00003796586,0.0003365618],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2377414,"threshold_uncertainty_score":0.8899094,"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."}}