{"id":"W3019259851","doi":"10.1503/cmaj.190848","title":"Calibration and discrimination of the Framingham Risk Score and the Pooled Cohort Equations","year":2020,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Lipoproteins and Cardiovascular Health","field":"Medicine","cited_by":64,"is_retracted":false,"has_abstract":true,"ca_institutions":"Libin Cardiovascular Institute of Alberta; Health Sciences Centre; Women's College Hospital; University Health Network; University of Toronto; Sunnybrook Health Science Centre; McGill University Health Centre; McGill University; University of Calgary","funders":"Canadian Institutes of Health Research; Ontario Ministry of Health and Long-Term Care","keywords":"Framingham Risk Score; Cohort; Medicine; Population; Cohort study; Demography; Internal medicine; Risk assessment; Framingham Heart Study; Disease; Environmental health","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.07233205,0.00146907,0.00120545,0.002586284,0.0005250666,0.001866824,0.002172684,0.001320365,0.0009991489],"category_scores_gemma":[0.1812568,0.0008266325,0.002262178,0.001962605,0.0007352739,0.001094657,0.001783491,0.001286412,0.0004163825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002154635,"about_ca_system_score_gemma":0.003047992,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07062931,"about_ca_topic_score_gemma":0.03383068,"domain_scores_codex":[0.9587947,0.02415217,0.003624626,0.005463244,0.006884035,0.00108132],"domain_scores_gemma":[0.907962,0.04598655,0.01507723,0.01481445,0.01550795,0.0006517909],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005033934,0.00004886108,0.96056,0.0001017091,0.002460004,0.000102652,0.0003848888,0.01085904,0.000306149,0.001114489,0.001609312,0.02194952],"study_design_scores_gemma":[0.0001528525,0.000360683,0.8734127,0.0002614655,0.00187676,0.0004763705,0.0002288818,0.1146892,0.0009244084,0.003044121,0.004459302,0.0001132917],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8088611,0.005290047,0.1702449,0.0009253808,0.0004104724,0.0008995576,0.007206396,0.0005232891,0.00563875],"genre_scores_gemma":[0.9719992,0.000511142,0.02392656,0.0001865953,0.00006831436,0.0002870467,0.002546946,0.00004186971,0.0004323282],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07233205,"threshold_uncertainty_score":0.382533,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009152442066678378,"score_gpt":0.2217348377365952,"score_spread":0.2125823956699168,"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."}}