{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002174065,0.0006768216,0.0004005525,0.004157065,0.002400202,0.007397014,0.001000295,0.002515148,0.009093493],"category_scores_gemma":[0.001948492,0.0002996894,0.0006098752,0.004461422,0.005205233,0.009454398,0.006161133,0.003046324,0.001932523],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004642423,"about_ca_system_score_gemma":0.003603517,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002892684,"about_ca_topic_score_gemma":0.003457334,"domain_scores_codex":[0.9983422,0.0006312514,0.0001371234,0.0001644789,0.0005281162,0.000196805],"domain_scores_gemma":[0.9989557,0.0004809349,0.00008001474,0.00007443797,0.0002211025,0.000187769],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001825946,0.00003636298,0.0005071148,0.0008482308,0.000008591674,0.0001727293,0.002682392,0.0003409004,0.0003188425,0.8194963,0.007777607,0.1677927],"study_design_scores_gemma":[0.000003310297,0.00004965003,0.001245422,0.00204287,0.00001617308,0.0009882242,0.005376829,0.0008311418,0.0006086151,0.1243048,0.8645069,0.00002599956],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.01975892,0.242346,0.09157049,0.02724057,0.002057152,0.0002162052,0.0002119662,0.0005241134,0.6160745],"genre_scores_gemma":[0.4456285,0.3972596,0.0795517,0.008612902,0.001570929,0.0004558343,0.0006564424,0.0004494461,0.06581465],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.009093493,"threshold_uncertainty_score":0.0336833,"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."}}