{"id":"W3138543084","doi":"10.3389/fcvm.2021.599671","title":"Multiscale Risk Factors of Cardiovascular Disease: CLSA Analysis of Genetic and Psychosocial Factors","year":2021,"lang":"en","type":"article","venue":"Frontiers in Cardiovascular Medicine","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; McGill University","funders":"Canadian Institutes of Health Research; Fonds de Recherche du Québec-Société et Culture; Government of Canada","keywords":"Psychosocial; Medicine; Depression (economics); Disease; Social support; Marital status; Odds ratio; Internal medicine; Gerontology; Psychology; Psychiatry; Population; Environmental health","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002222315,0.0007597448,0.0005704369,0.002293662,0.0008301677,0.0009189695,0.0008534071,0.0004518339,0.002353408],"category_scores_gemma":[0.003626041,0.0002085396,0.002070471,0.002769565,0.0004194209,0.0003220706,0.001218283,0.0009203654,0.0001875796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009469697,"about_ca_system_score_gemma":0.002821238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1837452,"about_ca_topic_score_gemma":0.156549,"domain_scores_codex":[0.9986569,0.0004264852,0.00009009918,0.0003296408,0.0002948981,0.0002020199],"domain_scores_gemma":[0.9976526,0.0005763046,0.0005145792,0.000343079,0.0005102632,0.0004032112],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009826646,0.00001770051,0.9960809,0.00002121363,0.0005334677,0.00003934059,0.00004644875,0.0002923197,0.0001519923,0.0001079257,0.0002199658,0.002390492],"study_design_scores_gemma":[0.000008499835,0.00007336996,0.9960642,0.00001333853,0.0002780335,0.00008277474,0.0001204809,0.002637958,0.00005439835,0.0001784279,0.0004795467,0.000008924297],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9891688,0.001061598,0.003011295,0.0002705879,0.00002896014,0.00006248802,0.004486605,0.000060497,0.001849037],"genre_scores_gemma":[0.9967823,0.0001122691,0.001323228,0.00002633721,0.00001361332,0.00003465301,0.001412957,0.000006722035,0.0002878144],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1837452,"threshold_uncertainty_score":0.3653514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01732540187772994,"score_gpt":0.2874531540466111,"score_spread":0.2701277521688811,"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."}}