{"id":"W3154938279","doi":"10.1093/ajhp/zxab160","title":"National trends in prescription drug expenditures and projections for 2021","year":2021,"lang":"en","type":"article","venue":"American Journal of Health-System Pharmacy","topic":"Pharmaceutical Economics and Policy","field":"Economics, Econometrics and Finance","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Drug Policy Research Network; University of Toronto; St. Michael's Hospital","funders":"","keywords":"Biosimilar; Medical prescription; Specialty; Prescription drug; Medicine; Drug; Legislation; Business; Pharmacy; Family medicine; Pharmacology; Political science","routes":{"ca_aff":true,"ca_fund":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.001085039,0.000545737,0.0002120103,0.002212408,0.0002461547,0.001211103,0.0003563566,0.0004826636,0.002601585],"category_scores_gemma":[0.003442965,0.0001951152,0.0008935619,0.002948088,0.0001555749,0.001304399,0.0005189318,0.0008412864,0.001079002],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002478756,"about_ca_system_score_gemma":0.001339073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03977022,"about_ca_topic_score_gemma":0.03457491,"domain_scores_codex":[0.9994044,0.0001034223,0.0000662954,0.00009817522,0.0002347938,0.00009292144],"domain_scores_gemma":[0.998027,0.0002184736,0.0006207462,0.00005426679,0.0009431631,0.0001363618],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005342267,0.0002023602,0.7739273,0.0008106932,0.0005788188,0.0003278527,0.0002916623,0.06346686,0.001028451,0.01110719,0.06009482,0.08762976],"study_design_scores_gemma":[0.00003495163,0.0002424984,0.8279094,0.0004675629,0.0002225432,0.0008253366,0.0009563167,0.07179857,0.00161997,0.002905556,0.09293605,0.00008125932],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7557648,0.007380205,0.009102483,0.007408861,0.0003846429,0.00008415322,0.1758558,0.0008594962,0.04315966],"genre_scores_gemma":[0.8897328,0.004329417,0.006190867,0.000693969,0.0001416382,0.0001146217,0.09468573,0.00005157024,0.004059375],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03977022,"threshold_uncertainty_score":0.07907748,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08007821918919704,"score_gpt":0.3729393653422278,"score_spread":0.2928611461530307,"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."}}