{"id":"W2325583450","doi":"10.1093/eurheartj/ehw135","title":"Selection of individuals for genetic testing for familial hypercholesterolaemia: development and external validation of a prediction model for the presence of a mutation causing familial hypercholesterolaemia","year":2016,"lang":"en","type":"article","venue":"European Heart Journal","topic":"Lipoproteins and Cardiovascular Health","field":"Medicine","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Medicine; Cohort; Family history; Familial hypercholesterolemia; Logistic regression; Internal medicine; Genetic testing; Receiver operating characteristic; Medical history; Outpatient clinic; Cohort study; Pediatrics; Cholesterol","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.02415119,0.001348864,0.001192807,0.001392536,0.000674869,0.001242914,0.001442121,0.0008155326,0.001026169],"category_scores_gemma":[0.02418634,0.0003859959,0.00127619,0.0005737946,0.0005354551,0.0004177222,0.00113003,0.001286228,0.0003125783],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001574189,"about_ca_system_score_gemma":0.002650591,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03067005,"about_ca_topic_score_gemma":0.01644251,"domain_scores_codex":[0.9957448,0.003088678,0.0001740828,0.0005278288,0.0002539931,0.0002105347],"domain_scores_gemma":[0.978505,0.01699856,0.0009192229,0.0007575435,0.002268892,0.0005508512],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002217474,0.0007554662,0.9174957,0.00005224094,0.0009066287,0.0002108114,0.0002805895,0.05444628,0.0005828339,0.0002425185,0.001717152,0.02109233],"study_design_scores_gemma":[0.0002875082,0.0006922444,0.1069388,0.00006258241,0.0003818681,0.0001365568,0.000135993,0.8901222,0.0003893309,0.0003968676,0.0004281839,0.00002785337],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9851658,0.0001481779,0.01307053,0.0002415538,0.00003890811,0.0002479577,0.0005160151,0.0001001269,0.0004710334],"genre_scores_gemma":[0.9906974,0.00004512564,0.007747056,0.0000458038,0.00001204567,0.0001467264,0.001018118,0.0000126384,0.000275122],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03067005,"threshold_uncertainty_score":0.1277252,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06951148189240225,"score_gpt":0.3011787563276998,"score_spread":0.2316672744352976,"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."}}