{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007916333,0.000149988,0.000405171,0.00007328841,0.00005777803,0.00003845343,0.0005813022,0.00008348747,0.0002354882],"category_scores_gemma":[0.001093506,0.0001465105,0.00005460146,0.0002830072,0.0000710103,0.0002317178,0.001698543,0.000169602,0.000006398865],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001801202,"about_ca_system_score_gemma":0.001478724,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001012099,"about_ca_topic_score_gemma":0.0002429727,"domain_scores_codex":[0.9979467,0.00006735718,0.0004250498,0.000641941,0.000547544,0.0003714361],"domain_scores_gemma":[0.9967965,0.0001588438,0.000162235,0.002648109,0.0001162109,0.0001180482],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.006601181,0.01011225,0.02842117,0.09835791,0.01872533,0.0187382,0.0004879444,0.0005592612,0.02068984,0.04707146,0.5484253,0.2018101],"study_design_scores_gemma":[0.00231598,0.00008284835,0.0004765661,0.001031008,0.001495212,0.0001571953,0.0007645655,0.9519176,0.0002003832,0.00003047029,0.04134196,0.0001862342],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6315578,0.005560214,0.3221812,0.003403485,0.002716746,0.004231504,0.02460436,0.0007248053,0.00501991],"genre_scores_gemma":[0.9748395,0.0001229392,0.005348185,0.0001514478,0.0004793395,0.000004224668,0.01895116,0.00003584747,0.00006731984],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9513583,"threshold_uncertainty_score":0.5974526,"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."}}