{"id":"W3042511548","doi":"10.34172/ijhpm.2020.103","title":"Prediction of Cardiovascular Disease Mortality in a Middle Eastern Country: Performance of the Globorisk and Score Functions in Four Population-Based Cohort Studies of Iran","year":2020,"lang":"en","type":"article","venue":"International Journal of Health Policy and Management","topic":"Diabetes, Cardiovascular Risks, and Lipoproteins","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Tehran University of Medical Sciences and Health Services","keywords":"Cohort; Disease; Population; Cohort study; Medicine; Demography; Geography; Environmental health; Internal medicine; Sociology","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":[0.01153575,0.001028331,0.0007056198,0.001309589,0.000467846,0.001009217,0.001024192,0.0006348983,0.0006237107],"category_scores_gemma":[0.009360099,0.0003383119,0.002676793,0.0009146024,0.0005822479,0.0004556741,0.0009237733,0.0008962598,0.0001504618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007352115,"about_ca_system_score_gemma":0.001021538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01187677,"about_ca_topic_score_gemma":0.007863244,"domain_scores_codex":[0.9982029,0.001100572,0.0001085556,0.0002615527,0.0001985197,0.0001279666],"domain_scores_gemma":[0.9964014,0.001429655,0.0006075328,0.0007382897,0.0005866799,0.0002364369],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007684919,0.0001539522,0.9915928,0.00002009231,0.0005337902,0.00004432972,0.0001964692,0.002089711,0.00009105459,0.00006169651,0.0001480224,0.00429965],"study_design_scores_gemma":[0.0001696509,0.001176945,0.9724151,0.00003113186,0.0005186952,0.0001554583,0.0005877494,0.02400563,0.0002385069,0.0003384623,0.0003300957,0.00003253016],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991055,0.0001056495,0.0004445178,0.00004022324,0.000009316874,0.0000200282,0.0001822737,0.000008132763,0.00008428119],"genre_scores_gemma":[0.9982787,0.00008634356,0.0009992291,0.00001823418,0.000007521929,0.00002891389,0.0005086988,0.000003586111,0.00006879551],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01187677,"threshold_uncertainty_score":0.06100762,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09011743065159189,"score_gpt":0.3249482166631765,"score_spread":0.2348307860115846,"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."}}