{"id":"W1988142324","doi":"10.1586/14737167.3.6.691","title":"Impact of socioeconomic status on cardiovascular outcomes in Canada","year":2003,"lang":"en","type":"article","venue":"Expert Review of Pharmacoeconomics & Outcomes Research","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Clinical Evaluative Sciences","funders":"Canadian Institutes of Health Research","keywords":"Socioeconomic status; Medicine; Environmental health; Gerontology; Population","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":[0.0004707921,0.0001541752,0.0002976243,0.001203139,0.001890357,0.0009330853,0.0003888104,0.0002214903,0.003194874],"category_scores_gemma":[0.002391053,0.00007181375,0.0003436466,0.003158903,0.0004371789,0.0001962105,0.0008321683,0.0004825083,0.000106095],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02405329,"about_ca_system_score_gemma":0.05564655,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.994696,"about_ca_topic_score_gemma":0.9969382,"domain_scores_codex":[0.9994281,0.00004836864,0.00002405256,0.00004222258,0.000273658,0.0001835502],"domain_scores_gemma":[0.998887,0.00006700845,0.0001409991,0.00001670132,0.0005626938,0.0003257232],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003734142,0.00006943328,0.8546796,0.0003920204,0.0003249609,0.0004675109,0.001158701,0.0006580563,0.0002501199,0.003282454,0.01884747,0.1194962],"study_design_scores_gemma":[0.00001960227,0.00002508501,0.9924298,0.0001553087,0.0001123497,0.00008307969,0.0006837284,0.0003688486,0.00007277609,0.0003037504,0.005729259,0.00001652233],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8901248,0.03120297,0.0003462325,0.01563372,0.0002476531,0.00009959667,0.01771875,0.00003872509,0.0445876],"genre_scores_gemma":[0.9877456,0.008946335,0.0001602982,0.0003483558,0.00003049804,0.00001315396,0.001298164,0.000004625107,0.00145301],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02405329,"threshold_uncertainty_score":0.1745197,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05516463727432507,"score_gpt":0.5322028403494637,"score_spread":0.4770382030751387,"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."}}