{"id":"W2335787940","doi":"10.1111/1475-6773.12492","title":"High‐Cost Users of Prescription Drugs: A Population‐Based Analysis from British Columbia, Canada","year":2016,"lang":"en","type":"article","venue":"Health Services Research","topic":"Medication Adherence and Compliance","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Canadian Institutes of Health Research","keywords":"Medical prescription; Medicine; Polypharmacy; Population; Prescription drug; Medicare Part D; Family medicine; Demography; Environmental health; Pharmacology","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":[0.0008713017,0.0006783142,0.0008798917,0.002680259,0.003928602,0.001928095,0.002203705,0.0008977833,0.003147771],"category_scores_gemma":[0.00218057,0.0007391819,0.0008619239,0.008787632,0.0008728424,0.0004834575,0.001316289,0.001138799,0.0005454799],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03376173,"about_ca_system_score_gemma":0.04001677,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9970331,"about_ca_topic_score_gemma":0.9984351,"domain_scores_codex":[0.9986021,0.00009279152,0.0001151468,0.0002477156,0.0005008289,0.0004414563],"domain_scores_gemma":[0.996868,0.0001752647,0.0003899245,0.0001253573,0.001717236,0.000724362],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001186393,0.00006968871,0.9898996,0.0001111461,0.0001467346,0.0002260424,0.000683605,0.0001950458,0.0002081694,0.0001040858,0.003440967,0.004796385],"study_design_scores_gemma":[0.00001739689,0.00001955377,0.9971467,0.00007635113,0.00005965846,0.0000815233,0.001152698,0.0003633041,0.00004196916,0.00002097929,0.001002689,0.00001731007],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9775804,0.001649576,0.0002022725,0.0004777925,0.00002004978,0.0001291099,0.01695306,0.00002362295,0.002963982],"genre_scores_gemma":[0.9916438,0.0009453991,0.0002534938,0.0002737238,0.000008021263,0.00004950227,0.005483377,0.00001186928,0.001330751],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03376173,"threshold_uncertainty_score":0.2449596,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0479564193848519,"score_gpt":0.3747811402687926,"score_spread":0.3268247208839407,"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."}}