{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001242914,0.0001108286,0.00023079,0.00003248241,0.00007420136,0.00001306818,0.0000793333,0.00008611738,0.00007627324],"category_scores_gemma":[0.001782421,0.00007124993,0.0000275704,0.00009361144,0.0001577262,0.0001509054,0.00001821954,0.0001213668,0.00001451928],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004088781,"about_ca_system_score_gemma":0.00005611125,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000609566,"about_ca_topic_score_gemma":0.00001730098,"domain_scores_codex":[0.9988273,0.0001781844,0.000259592,0.0002220958,0.0002145772,0.0002982812],"domain_scores_gemma":[0.998497,0.000666057,0.0001453177,0.0002206021,0.0001201327,0.0003508798],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003443915,0.00007913899,0.9068137,0.00005576146,0.00003841755,1.280243e-7,0.000126992,1.723182e-9,0.0001333272,0.00005049572,0.0399369,0.05242068],"study_design_scores_gemma":[0.0007107339,0.00006512583,0.9590583,0.00002055925,0.00004628319,0.000001976179,0.00006712923,0.000005909909,0.002275036,0.0001250205,0.03753048,0.00009342981],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9846696,0.0007177322,0.006458881,0.004824056,0.0004148353,0.001837041,0.000303313,0.00005849177,0.0007160306],"genre_scores_gemma":[0.9784461,0.0001595181,0.0002920909,0.0006498621,0.000314885,0.002737002,0.0002156538,0.00001108647,0.01717386],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05232725,"threshold_uncertainty_score":0.2905488,"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."}}