{"id":"W4246684384","doi":"10.1503/cmaj.050460","title":"Prescription drug expenditures rising -- too fast?","year":2005,"lang":"en","type":"letter","venue":"Canadian Medical Association Journal","topic":"Pharmaceutical Economics and Policy","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medical prescription; Drug; Computer science; Prescription drug; Data science; Medicine; World Wide Web; Pharmacology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.004538382,0.000429787,0.000782728,0.001587394,0.002833134,0.005348045,0.001207291,0.01278747,0.01523896],"category_scores_gemma":[0.03683219,0.0003521756,0.0007215456,0.002824247,0.002547764,0.005486318,0.001330923,0.01528311,0.004952307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01184107,"about_ca_system_score_gemma":0.01261178,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1410629,"about_ca_topic_score_gemma":0.1984069,"domain_scores_codex":[0.995389,0.0007701211,0.0003578013,0.0004303983,0.002281123,0.0007715944],"domain_scores_gemma":[0.9805876,0.006995059,0.003059453,0.0006367668,0.005308511,0.003412575],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005267121,0.00001674229,0.004398108,0.00007118793,0.00001592651,0.0002836175,0.0001646147,0.00003457097,0.00009305009,0.007783963,0.9561169,0.03096872],"study_design_scores_gemma":[0.0001013932,0.00007384479,0.0297173,0.001369301,0.00005727327,0.001174542,0.001732218,0.0004963987,0.0003327225,0.0185352,0.9463106,0.00009931179],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"editorial","genre_scores_codex":[0.001232255,0.001950018,0.00007256906,0.9862102,0.002699963,0.000005651751,0.0002502999,0.00002908045,0.007550042],"genre_scores_gemma":[0.02577092,0.005271165,0.0002673869,0.9511926,0.01226957,0.00001150884,0.0002037605,0.00006403384,0.004949046],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.8589371,"threshold_uncertainty_score":0.2804837,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02371585390240609,"score_gpt":0.249481814863644,"score_spread":0.225765960961238,"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."}}