{"id":"W3009410139","doi":"10.1161/circ.141.suppl_1.p468","title":"Abstract P468: Geographic and Socioeconomic Inequalities in Poor Cardiovascular Health in Canada","year":2020,"lang":"en","type":"article","venue":"Circulation","topic":"Cardiovascular Health and Risk Factors","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Medicine; Socioeconomic status; Residence; Inequality; Environmental health; Demography; Population; Body mass index; Gerontology","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":[0.001058062,0.0003953652,0.0005253016,0.002389002,0.005738874,0.002173167,0.001404733,0.0004917343,0.007587676],"category_scores_gemma":[0.003576917,0.0002944379,0.0009352508,0.007360198,0.0008435859,0.0005813609,0.00215927,0.001254599,0.0004831043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03743583,"about_ca_system_score_gemma":0.1026378,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9981841,"about_ca_topic_score_gemma":0.9987568,"domain_scores_codex":[0.9986388,0.0000897564,0.00008260763,0.0001877719,0.000503142,0.0004980005],"domain_scores_gemma":[0.9971782,0.0001357661,0.0002497594,0.00007053419,0.001733191,0.0006326437],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000102183,0.00005850399,0.915665,0.0003613938,0.0001885758,0.00016945,0.001646622,0.0005909739,0.0001140458,0.002214206,0.04900935,0.02987961],"study_design_scores_gemma":[0.00001604037,0.00001348517,0.9856124,0.0002797583,0.00009214511,0.00006687333,0.002124619,0.000791956,0.00007112767,0.0004383963,0.01046162,0.00003154583],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7194799,0.008352115,0.002004183,0.01391072,0.0003727356,0.0004992243,0.1936112,0.0001643764,0.06160559],"genre_scores_gemma":[0.9710147,0.002602413,0.001974378,0.001049344,0.0000611397,0.0001613479,0.01821748,0.00003601354,0.004883094],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03743583,"threshold_uncertainty_score":0.2716172,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02476138159802032,"score_gpt":0.2454482065153099,"score_spread":0.2206868249172896,"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."}}