{"id":"W4212763425","doi":"10.12688/digitaltwin.17475.2","title":"Digital twins for well-being: an overview","year":2022,"lang":"en","type":"article","venue":"Digital Twin","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; Centennial College; University of Ottawa","funders":"National Research Council Canada","keywords":"Scope (computer science); Data science; Computer science; Architecture; Geography","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00007036119,0.0002091764,0.0001801612,0.000107666,0.0001209086,0.0006781592,0.0003393763,0.00005451573,0.0002461344],"category_scores_gemma":[0.00001992296,0.0002438719,0.0001431656,0.0002727216,0.00003059009,0.00294199,0.00006912581,0.0002062183,0.0001614111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001238203,"about_ca_system_score_gemma":0.0000242738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":4.347108e-7,"about_ca_topic_score_gemma":2.762565e-7,"domain_scores_codex":[0.9988061,0.000005307484,0.0003270737,0.0002059166,0.0002937931,0.000361877],"domain_scores_gemma":[0.999452,0.00006404823,0.00002711865,0.0002797017,0.00002797522,0.0001491511],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001385837,0.001171814,0.004666136,0.001071451,0.0004521118,0.00007396735,0.004023076,0.147258,0.000222983,0.1411242,0.09625185,0.6035458],"study_design_scores_gemma":[0.0005252014,0.0001755001,0.000122165,0.00001737788,0.000007868698,0.0000364519,0.0008385151,0.005462602,0.0003820595,0.005561021,0.9864164,0.0004548429],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.079773,0.0001867247,0.00302153,0.00008964553,0.0007852764,0.0005269932,0.001432897,0.001094299,0.9130896],"genre_scores_gemma":[0.9961193,0.000005496795,0.0000742552,0.0001427398,0.0001260575,0.0001848621,0.0007374128,0.00008437166,0.002525514],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9163463,"threshold_uncertainty_score":0.9944806,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03052789733772069,"score_gpt":0.2525638244499757,"score_spread":0.222035927112255,"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."}}