{"id":"W2402754141","doi":"","title":"Does concordance between survey responses and administrative records differ by ethnicity for prescription medication?","year":2012,"lang":"en","type":"article","venue":"PubMed","topic":"Medication Adherence and Compliance","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Concordance; Ethnic group; Medical prescription; Medicine; Demography; Logistic regression; Odds ratio; Odds; Respondent; Internal medicine","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":[0.03363124,0.0002002898,0.0005791879,0.001755849,0.0004532294,0.00142692,0.001010796,0.0005562612,0.001466536],"category_scores_gemma":[0.1305117,0.0003537599,0.0007650845,0.002723339,0.001361669,0.0009677804,0.001115017,0.0005894708,0.0003941927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008552118,"about_ca_system_score_gemma":0.0008253511,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01794999,"about_ca_topic_score_gemma":0.01459021,"domain_scores_codex":[0.9536506,0.02896343,0.004251474,0.004901693,0.006570547,0.001662312],"domain_scores_gemma":[0.8515004,0.09237038,0.03435673,0.009823179,0.0108724,0.001077026],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005305684,0.0000080933,0.9957405,0.00004478208,0.0001875057,0.00002801822,0.0005324531,0.00008947474,0.00004935862,0.00008623399,0.000184284,0.002996314],"study_design_scores_gemma":[0.000003902107,0.00002213922,0.9973361,0.00006590919,0.00006221107,0.0001266356,0.0006149382,0.0007541328,0.0002119153,0.000215604,0.0005774343,0.00000897058],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9892084,0.001087832,0.003035071,0.0009974323,0.00005565602,0.00005208269,0.001831622,0.00002695922,0.003704878],"genre_scores_gemma":[0.9989915,0.00009013549,0.0002614412,0.0001162088,0.00001428174,0.00001529711,0.0004149907,0.000007252705,0.0000888351],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03363124,"threshold_uncertainty_score":0.1778611,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1611814536274803,"score_gpt":0.3681454249732014,"score_spread":0.2069639713457211,"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."}}