{"id":"W2064958574","doi":"10.1016/j.jval.2011.08.005","title":"Quantifying the Impact of Drug Exposure Misclassification due to Restrictive Drug Coverage in Administrative Databases: A Simulation Cohort Study","year":2011,"lang":"en","type":"article","venue":"Value in Health","topic":"Medication Adherence and Compliance","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian VIGOUR Centre; Alliance for Canadian Health Outcomes Research in Diabetes; University of Alberta","funders":"Institute of Nutrition, Metabolism and Diabetes; Ministry of Health, Saskatchewan; Canadian Institutes of Health Research; Alberta Innovates; Alberta Innovates - Health Solutions","keywords":"Metformin; Medicine; Hazard ratio; Sulfonylurea; Cohort; Drug; Formulary; Confidence interval; Database; Proportional hazards model; Internal medicine; Pharmacology; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.05102737,0.001335296,0.001816097,0.001151678,0.001160741,0.002329081,0.003432203,0.003603059,0.002345527],"category_scores_gemma":[0.08476605,0.001609261,0.004598997,0.001275685,0.00130952,0.001863235,0.0019878,0.00277268,0.0003234892],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002842675,"about_ca_system_score_gemma":0.003452834,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04565374,"about_ca_topic_score_gemma":0.02165443,"domain_scores_codex":[0.9844831,0.0124229,0.0005288305,0.001388674,0.0005076734,0.0006688622],"domain_scores_gemma":[0.7970653,0.1710313,0.009236559,0.0162806,0.004356246,0.002030086],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0209398,0.007170855,0.61181,0.0002458104,0.007591968,0.0008955362,0.001036062,0.3273475,0.0008814264,0.004540303,0.002028136,0.01551261],"study_design_scores_gemma":[0.002461042,0.004553465,0.07127112,0.00006916666,0.002500582,0.0004614562,0.000429363,0.9142758,0.0008552351,0.002413732,0.000575887,0.000133138],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99314,0.0001220579,0.005296072,0.0002505025,0.00002339965,0.0002041574,0.0006674178,0.00003105949,0.0002652174],"genre_scores_gemma":[0.9944331,0.00006977745,0.004350921,0.00008205937,0.00001338751,0.0001733047,0.0005968728,0.000008340295,0.0002722807],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9489726,"threshold_uncertainty_score":0.2698618,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3160977279201487,"score_gpt":0.4528445267944198,"score_spread":0.136746798874271,"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."}}