{"id":"W2737067199","doi":"10.1007/s40261-017-0556-6","title":"Prescription Drug Price Paradox: Cost Analysis of Canadian Online Pharmacies versus US Medicare Beneficiaries for the Top 100 Drugs","year":2017,"lang":"en","type":"article","venue":"Clinical Drug Investigation","topic":"Medication Adherence and Compliance","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Pharmacy; Medical prescription; Medicine; Medicare Part D; Prescription drug; Beneficiary; Drug; Family medicine; Drug prices; Emergency medicine; Business; Pharmacology; Finance","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003188587,0.0004648079,0.001271884,0.002159889,0.001087749,0.002736501,0.002122732,0.001227878,0.005172219],"category_scores_gemma":[0.02915157,0.000387446,0.001998542,0.006404209,0.0008994502,0.001581256,0.0009457213,0.001780608,0.0001440968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02145172,"about_ca_system_score_gemma":0.01188064,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8480346,"about_ca_topic_score_gemma":0.8272136,"domain_scores_codex":[0.9976972,0.0007007712,0.0001417375,0.0002404056,0.0007561169,0.0004637517],"domain_scores_gemma":[0.9825805,0.009407137,0.003432469,0.0007444773,0.002405554,0.001429875],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0124654,0.001070322,0.9155689,0.0005415574,0.003660016,0.000463703,0.0003929712,0.01440529,0.0003486315,0.006795431,0.01393906,0.03034881],"study_design_scores_gemma":[0.0007952008,0.0005701663,0.9517785,0.0001063863,0.002465731,0.0004359144,0.001851422,0.03631667,0.0002447573,0.002118947,0.003210627,0.0001057011],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9829081,0.003735249,0.0002069145,0.002772635,0.00003797414,0.0000884545,0.006351129,0.00002558621,0.003873974],"genre_scores_gemma":[0.997364,0.0003031369,0.0001494309,0.0003195898,0.00002302397,0.000009246703,0.001519725,0.000006508275,0.0003053694],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1519654,"threshold_uncertainty_score":0.3057207,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2081241230597191,"score_gpt":0.4340633492773713,"score_spread":0.2259392262176522,"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."}}