{"id":"W4386280880","doi":"10.1109/jsac.2023.3310097","title":"Digital Twin Empowered Wireless Healthcare Monitoring for Smart Home","year":2023,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":150,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Science, Technology and Innovation Commission of Shenzhen Municipality; National Natural Science Foundation of China","keywords":"Computer science; Wireless; Wearable computer; Smartwatch; Home automation; Visualization; Process (computing); Human–computer interaction; Fidelity; Embedded system; Real-time computing; Telecommunications; Artificial intelligence","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":[0.0002264564,0.0003844403,0.0003617644,0.0003022066,0.0001566622,0.0005941706,0.0004425286,0.0004167006,0.00112423],"category_scores_gemma":[0.0004994633,0.0001544936,0.0003150916,0.0002986373,0.0002129718,0.001082148,0.0007784382,0.0003614284,0.0002994162],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002724096,"about_ca_system_score_gemma":0.0002762819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001762807,"about_ca_topic_score_gemma":0.001929565,"domain_scores_codex":[0.9998343,0.00003463827,0.000009109598,0.00004596963,0.00006066117,0.00001535237],"domain_scores_gemma":[0.9999132,0.00002054491,0.00001041753,0.00001915588,0.00002542764,0.00001127733],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007288393,0.0003460787,0.01674293,0.0002578644,0.00009475088,0.000590495,0.0002571444,0.4052779,0.08025333,0.02538486,0.007479839,0.4625861],"study_design_scores_gemma":[0.000008044793,0.0001140947,0.001207714,0.000006860901,0.0000184399,0.0001713978,0.00002035128,0.9881344,0.005204986,0.002387403,0.002714813,0.00001149544],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05951006,0.0003421739,0.9342924,0.0001957898,0.00008794072,0.00004929139,0.0001261272,0.001160496,0.004235801],"genre_scores_gemma":[0.9082714,0.000416571,0.08734699,0.0001109246,0.00003362742,0.00004685002,0.0001942711,0.00003651928,0.003542882],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001762807,"threshold_uncertainty_score":0.003760934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06508742822763808,"score_gpt":0.337608752088192,"score_spread":0.2725213238605539,"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."}}