{"id":"W1965203992","doi":"10.1353/cpp.2011.0038","title":"Socioeconomic Status and the Use of Medicines in the Ontario Public Drug Program","year":2011,"lang":"en","type":"article","venue":"Canadian Public Policy","topic":"Pharmaceutical Economics and Policy","field":"Economics, Econometrics and Finance","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Publishing; Indigenous; Politics; Socioeconomic status; The Renaissance; Public culture; Slavic languages; Social science; Sociology; Media studies; Library science; Political science; History; Classics; Art history; Law; Demography","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0003856106,0.0001127253,0.0001985097,0.00121728,0.001829971,0.001059119,0.0006275615,0.0003895463,0.01197981],"category_scores_gemma":[0.00356005,0.0002473953,0.0005104464,0.00403882,0.000493469,0.0005374388,0.0007311385,0.0005505353,0.000591372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01852995,"about_ca_system_score_gemma":0.0217943,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9905041,"about_ca_topic_score_gemma":0.9953682,"domain_scores_codex":[0.9993363,0.00005070642,0.00004757226,0.0000339011,0.0003445185,0.0001869723],"domain_scores_gemma":[0.9964981,0.0002504006,0.001091854,0.00006977819,0.0007537547,0.001336151],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006682926,0.00007716305,0.9789655,0.00006388396,0.00004959381,0.0001131272,0.001005464,0.0001246134,0.0000705795,0.0006009215,0.01095963,0.007902758],"study_design_scores_gemma":[0.000006091584,0.00001002289,0.9965383,0.00003631439,0.00001239988,0.00002468016,0.0005758545,0.000102175,0.00001421924,0.00003585287,0.002638876,0.000005394334],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.937136,0.002791804,0.00007340463,0.007067173,0.0000580802,0.00007808616,0.02083413,0.00002496574,0.03193638],"genre_scores_gemma":[0.9865404,0.001947035,0.00009382102,0.000274908,0.00002637684,0.00002720577,0.003057128,0.00001019964,0.008023036],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01852995,"threshold_uncertainty_score":0.1344448,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1678272396124274,"score_gpt":0.27541479054965,"score_spread":0.1075875509372226,"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."}}