{"id":"W2348645494","doi":"","title":"Drug Expenditure and Drug Price Regulation in Canada","year":2009,"lang":"en","type":"article","venue":"Zhongguo yaofang","topic":"Pharmaceutical Economics and Policy","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Per capita; Drug; Drug prices; Drug pricing; Public economics; Economics; Business; Medicine; Pharmacology; Actuarial science; Environmental health","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":[0.001001124,0.0001888153,0.0002710391,0.00411653,0.001392793,0.001858328,0.0005904155,0.0003744687,0.002763746],"category_scores_gemma":[0.006374981,0.0001621188,0.0004073832,0.01129861,0.0008621891,0.0004641414,0.0005449745,0.0006634204,0.0001174395],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07114,"about_ca_system_score_gemma":0.06619804,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9911094,"about_ca_topic_score_gemma":0.9894785,"domain_scores_codex":[0.9975642,0.0001838613,0.0001132306,0.0001550696,0.001320971,0.0006627801],"domain_scores_gemma":[0.9931635,0.0007536995,0.001563029,0.0001029053,0.004002484,0.0004145004],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000468854,0.0001216292,0.6856057,0.001689123,0.0004325737,0.00197955,0.003488375,0.01115978,0.001288982,0.08770637,0.06679819,0.139261],"study_design_scores_gemma":[0.00001854304,0.0000242185,0.9541178,0.0002366374,0.00009420634,0.0001440752,0.0009845032,0.002861306,0.0004745636,0.0007814446,0.04021214,0.00005050438],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8017668,0.03879471,0.001102877,0.02141797,0.0001413873,0.000105897,0.01706193,0.0001499121,0.1194586],"genre_scores_gemma":[0.986864,0.006024328,0.0003553064,0.0005283221,0.0000259223,0.0000123789,0.002109174,0.000009567671,0.004070961],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.92886,"threshold_uncertainty_score":0.5161592,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01998588614738545,"score_gpt":0.2345921373231352,"score_spread":0.2146062511757497,"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."}}