{"id":"W2996570620","doi":"10.1016/j.jval.2019.09.2408","title":"PRO78 THE CURRENT AND FUTURE COSTS OF ORPHAN DRUGS IN CANADA - A PUBLIC PAYER BUDGET IMPACT ANALYSIS","year":2019,"lang":"en","type":"article","venue":"Value in Health","topic":"Pharmaceutical Economics and Policy","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Orphan drug; Medicine; Drug; Population; Public health; Environmental health; Pharmacology; Bioinformatics","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":[0.00216282,0.0005501413,0.0007058807,0.00405163,0.002178902,0.003996334,0.001081898,0.001308844,0.008821743],"category_scores_gemma":[0.009582551,0.0005702165,0.001464248,0.00719131,0.0008250102,0.001109553,0.0008855311,0.001754264,0.0002863715],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1564615,"about_ca_system_score_gemma":0.1695358,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9959354,"about_ca_topic_score_gemma":0.997482,"domain_scores_codex":[0.9963565,0.0003605046,0.0001079857,0.0001354233,0.001693483,0.001346194],"domain_scores_gemma":[0.9942946,0.0009881523,0.0004956751,0.00009790548,0.003285289,0.0008383573],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002801654,0.0006676191,0.3334168,0.001376126,0.001676534,0.001134208,0.001288204,0.1306736,0.0007975055,0.2030462,0.1950576,0.1280639],"study_design_scores_gemma":[0.0009075009,0.0003384037,0.6657506,0.001185422,0.001999794,0.0004897263,0.004324291,0.09231205,0.001456761,0.02115231,0.2097593,0.0003238551],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.689433,0.02224804,0.002114875,0.04439167,0.0004395279,0.0007016035,0.1042808,0.0001538149,0.1362367],"genre_scores_gemma":[0.9363449,0.01006606,0.00230745,0.001936198,0.0001607168,0.0001453579,0.01177685,0.00006083093,0.03720156],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1564615,"threshold_uncertainty_score":0.9783852,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04297398827064129,"score_gpt":0.306910077215501,"score_spread":0.2639360889448597,"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."}}