{"id":"W3192980550","doi":"10.3390/data6080085","title":"VISEMURE: A Visual Analytics System for Making Sense of Multimorbidity Using Electronic Medical Record Data","year":2021,"lang":"en","type":"article","venue":"Data","topic":"Chronic Disease Management Strategies","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Multimorbidity; Computer science; Visual analytics; Data science; Analytics; Visualization; Range (aeronautics); Electronic health record; Population; Medical record; Health care; Human–computer interaction; Artificial intelligence; Medicine","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":[0.003335415,0.001478167,0.0009047187,0.004242266,0.000588985,0.002854804,0.001757727,0.0009108928,0.02465271],"category_scores_gemma":[0.01438507,0.0008476098,0.00119626,0.00206747,0.0003980501,0.003178266,0.003702024,0.001432203,0.003683281],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005995133,"about_ca_system_score_gemma":0.001087629,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003972558,"about_ca_topic_score_gemma":0.005056183,"domain_scores_codex":[0.9989867,0.0002966447,0.0001539844,0.0002117042,0.0002935104,0.0000574257],"domain_scores_gemma":[0.9913067,0.005970421,0.0005728019,0.0008815648,0.0008488443,0.0004197272],"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":[0.003099595,0.000511679,0.0189593,0.003731207,0.0008536096,0.001306963,0.005284189,0.01133993,0.01563169,0.01578353,0.4058807,0.5176176],"study_design_scores_gemma":[0.001533142,0.0008129871,0.02872555,0.002082192,0.0005213817,0.002143636,0.002196016,0.331363,0.03933791,0.06339952,0.5270668,0.0008179175],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0281802,0.001178873,0.4781947,0.002276619,0.0004249184,0.001548431,0.08865332,0.3871518,0.01239105],"genre_scores_gemma":[0.1515872,0.001254394,0.7711591,0.001401805,0.000270898,0.002101612,0.04913723,0.01589574,0.007191952],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02465271,"threshold_uncertainty_score":0.08247155,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2541414478232917,"score_gpt":0.4631493699357773,"score_spread":0.2090079221124856,"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."}}