{"id":"W3194362009","doi":"10.1161/atvbaha.121.316106","title":"Familial Hypercholesterolemia-Risk-Score: A New Score Predicting Cardiovascular Events and Cardiovascular Mortality in Familial Hypercholesterolemia","year":2021,"lang":"en","type":"article","venue":"Arteriosclerosis Thrombosis and Vascular Biology","topic":"Lipoproteins and Cardiovascular Health","field":"Medicine","cited_by":82,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; University of British Columbia; Western University; McGill University Health Centre; Université de Montréal; Montreal Clinical Research Institute","funders":"Institut de Recherche Clinique De Montréal; Agence Nationale de la Recherche","keywords":"Familial hypercholesterolemia; Medicine; Internal medicine; Hazard ratio; Cohort; Framingham Risk Score; Atherosclerotic cardiovascular disease; Proportional hazards model; Cohort study; Family history; Cholesterol; Disease; Confidence interval","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":[0.001080544,0.0007075166,0.0005429377,0.001371952,0.0002045986,0.0004543179,0.0003250547,0.0004433573,0.0009450453],"category_scores_gemma":[0.002544603,0.0001176381,0.0005502803,0.0007194328,0.0001771768,0.0003597872,0.0005256219,0.0004082884,0.0002714215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003786202,"about_ca_system_score_gemma":0.0004758035,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003418835,"about_ca_topic_score_gemma":0.003873358,"domain_scores_codex":[0.9994847,0.0001919948,0.00006420707,0.00006162333,0.0001534184,0.00004404466],"domain_scores_gemma":[0.9989717,0.0001891862,0.0004186028,0.00003954897,0.0002196733,0.0001612219],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006904057,0.0000884867,0.9831234,0.00003972594,0.0004193463,0.00009880889,0.00003494772,0.000859627,0.0005541052,0.00007468244,0.001247319,0.01276916],"study_design_scores_gemma":[0.0002060843,0.0003591625,0.9887196,0.00003004952,0.0002312679,0.0005866517,0.0000502076,0.008069289,0.0002534262,0.0002544052,0.001221952,0.00001782645],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993159,0.0009189708,0.002488186,0.000272681,0.00004157891,0.00007370837,0.001734195,0.0000621574,0.00124954],"genre_scores_gemma":[0.9933038,0.000230209,0.003630969,0.00004099946,0.00005329839,0.00007141355,0.002043423,0.000007379441,0.0006184526],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003418835,"threshold_uncertainty_score":0.00679785,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05279197033570439,"score_gpt":0.2852622450753541,"score_spread":0.2324702747396497,"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."}}