{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00105834,0.0001114541,0.0004970633,0.0003559534,0.00002659657,0.00002726937,0.0001767735,0.00003229493,0.0001568375],"category_scores_gemma":[0.0000259716,0.00009317861,0.00007190515,0.0007315917,0.00002079706,0.00009108981,0.00004602348,0.000255129,0.00001451006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00109515,"about_ca_system_score_gemma":0.0008302782,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8667844,"about_ca_topic_score_gemma":0.4326932,"domain_scores_codex":[0.9985716,0.00006501506,0.0007003919,0.0002554453,0.00003320388,0.0003743201],"domain_scores_gemma":[0.9991409,0.0001118339,0.0003166645,0.000261159,0.00001161405,0.000157838],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001115038,0.00004552156,0.9426829,0.00007772796,0.00005835102,2.605624e-7,0.0005394686,0.001464882,2.261054e-7,0.04356645,0.0003121895,0.01124082],"study_design_scores_gemma":[0.000877589,0.00005608239,0.821831,0.00002412926,0.000006821761,8.858236e-7,0.0001698131,0.1048369,0.000002192542,0.004584835,0.0673947,0.0002149795],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9789571,0.007471821,0.000002965047,0.01189754,0.000253142,0.0003529224,0.0002933721,0.000002405194,0.0007687762],"genre_scores_gemma":[0.9959207,0.003099923,0.00000999488,0.0008628868,0.00006447737,0.00001196269,0.00001166485,0.000008971095,0.000009428875],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4340912,"threshold_uncertainty_score":0.5776587,"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."}}