{"id":"W4200328492","doi":"10.1161/jaha.121.022576","title":"Machine Learning Approach to Classify Cardiovascular Disease in Patients With Nonalcoholic Fatty Liver Disease in the UK Biobank Cohort","year":2021,"lang":"en","type":"article","venue":"Journal of the American Heart Association","topic":"Liver Disease Diagnosis and Treatment","field":"Medicine","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; University Health Network; University of Toronto; Toronto General Hospital; Heart and Stroke Foundation; Princess Margaret Cancer Centre","funders":"Medical Research Council; British Heart Foundation","keywords":"Medicine; Nonalcoholic fatty liver disease; Biobank; Waist; Disease; Internal medicine; Cohort; Subclinical infection; Fatty liver; Bioinformatics; Body mass index","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":[0.006085321,0.000503594,0.0006880233,0.001302015,0.0003017877,0.0005545441,0.0006751534,0.0006442975,0.000904879],"category_scores_gemma":[0.01078636,0.000191194,0.0007382358,0.0005098901,0.0002013796,0.0004264389,0.0006244295,0.0006670798,0.0003052287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007434762,"about_ca_system_score_gemma":0.000537123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009078995,"about_ca_topic_score_gemma":0.006160458,"domain_scores_codex":[0.9986842,0.0007977545,0.00009532655,0.0002237581,0.0001187473,0.00008016772],"domain_scores_gemma":[0.9951897,0.003029708,0.0003938075,0.0005340536,0.0006723935,0.0001804218],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00131911,0.0003987731,0.7654949,0.00005817892,0.0007878927,0.0002650504,0.0002012213,0.1572037,0.0009361902,0.0003903315,0.002290286,0.07065439],"study_design_scores_gemma":[0.00008124479,0.000285892,0.1093243,0.00002828787,0.0001424958,0.0002041205,0.00006310399,0.8880203,0.0005930231,0.0007811243,0.0004517296,0.00002442891],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9609838,0.0004726433,0.0359033,0.0004151303,0.00005167424,0.0001471944,0.001201039,0.0002311373,0.0005941016],"genre_scores_gemma":[0.9849098,0.00009823225,0.01274921,0.00006187678,0.00002951986,0.0001218418,0.00172485,0.00001079121,0.0002938255],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009078995,"threshold_uncertainty_score":0.03218263,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01144383804505336,"score_gpt":0.2366579800870673,"score_spread":0.2252141420420139,"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."}}