{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006345821,0.00006158261,0.0003474358,0.0001488618,0.0001638673,0.00004361582,0.0002150664,0.00005958084,0.004807908],"category_scores_gemma":[0.00004968917,0.00006731787,0.00004988438,0.001229085,0.00004558992,0.00008932812,0.00003515257,0.0001538267,0.0000658154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004787538,"about_ca_system_score_gemma":0.001997543,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9980509,"about_ca_topic_score_gemma":0.9932784,"domain_scores_codex":[0.9972665,0.0002572602,0.00045328,0.0003314816,0.00130299,0.0003885394],"domain_scores_gemma":[0.9980789,0.0002146025,0.0002283093,0.0005131651,0.0005601897,0.0004048631],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006987704,0.00009103015,0.9590588,0.0005673938,0.0001137179,0.000005905267,0.0001022816,0.000006839277,0.0001440863,0.000005290905,0.02303216,0.01680268],"study_design_scores_gemma":[0.0009629775,0.00007742913,0.9882689,0.0007742554,0.00003582282,5.243684e-7,0.0003858158,0.000805893,0.00004545924,0.00005889489,0.008524899,0.00005914874],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9919512,0.000353136,0.0001722995,0.006325343,0.00008062528,0.000648477,0.000258553,0.00002295142,0.0001874278],"genre_scores_gemma":[0.9916586,0.000220303,0.0004670175,0.003025288,0.00008170815,0.00009888296,0.0004310004,0.00001082504,0.004006361],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02921014,"threshold_uncertainty_score":0.9961019,"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."}}