{"id":"W2903762212","doi":"10.1093/eurheartj/ehy566.p5350","title":"P5350Potential utility of the SCORE risk estimator to predict fatal cardiovascular events in a North American population: CARTaGENE cohort","year":2018,"lang":"en","type":"article","venue":"European Heart Journal","topic":"Cardiovascular Health and Risk Factors","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Heart Institute; McGill University Health Centre","funders":"","keywords":"Medicine; Cohort; Population; Framingham Risk Score; Internal medicine; Cohort study; Demography; Environmental health; Disease","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":[0.001709123,0.0003543355,0.0003352066,0.0007213975,0.0007272561,0.0009123015,0.0006740495,0.0004956689,0.002303128],"category_scores_gemma":[0.004387887,0.0001807697,0.000452951,0.0006601678,0.0003064394,0.0002876206,0.0003584413,0.0006262517,0.0003649691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001279331,"about_ca_system_score_gemma":0.00110225,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2807472,"about_ca_topic_score_gemma":0.2872685,"domain_scores_codex":[0.9994241,0.0001566333,0.00002273928,0.0001498028,0.0001649789,0.00008174598],"domain_scores_gemma":[0.9979094,0.0004747304,0.0003007766,0.0003650456,0.0007371371,0.000212961],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003823722,0.00005726769,0.992089,0.00001021614,0.0001197103,0.0001751964,0.0001117383,0.0004538141,0.0003403779,0.00009234383,0.002217679,0.003950166],"study_design_scores_gemma":[0.00008637722,0.0001222152,0.9926763,0.00001305147,0.00007808862,0.0002332294,0.0001152713,0.0045679,0.0001407623,0.0001034385,0.001848495,0.00001493888],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9922213,0.0002889108,0.0006535981,0.0002131284,0.00002081731,0.00007220304,0.00438795,0.00003474285,0.002107353],"genre_scores_gemma":[0.9951712,0.0001055692,0.0005197642,0.00009382887,0.00001800839,0.00005236692,0.002849543,0.00001071961,0.001178887],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2807472,"threshold_uncertainty_score":0.5582262,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02276437778995268,"score_gpt":0.2811365907173968,"score_spread":0.2583722129274442,"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."}}