{"id":"W2792714325","doi":"10.1503/cmaj.69340","title":"Access to new drugs for rare disorders in Canada","year":2018,"lang":"en","type":"letter","venue":"Canadian Medical Association Journal","topic":"Neurogenetic and Muscular Disorders Research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Armed Forces; Fraser Institute","funders":"","keywords":"Orphan drug; Government (linguistics); Medicine; Political science; Bioinformatics; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.00170586,0.0003392474,0.0006829037,0.000865491,0.0108663,0.003182718,0.001868985,0.02719195,0.01329307],"category_scores_gemma":[0.01215163,0.0003743798,0.0007103846,0.001186328,0.003623722,0.002046421,0.001651678,0.01829813,0.00241826],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0484532,"about_ca_system_score_gemma":0.08086094,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7959428,"about_ca_topic_score_gemma":0.9070188,"domain_scores_codex":[0.9956559,0.0004102862,0.0002646797,0.0003306579,0.002090914,0.001247672],"domain_scores_gemma":[0.9886723,0.002706554,0.0006038341,0.0001456539,0.003832396,0.004039194],"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":[0.00002880038,0.00003189055,0.001787855,0.00007966424,0.000008311416,0.003047832,0.0002580861,0.00008353392,0.0001862505,0.005648772,0.9742107,0.01462829],"study_design_scores_gemma":[0.00009302547,0.00005314609,0.004367458,0.0007048148,0.00002188758,0.003077732,0.0009745951,0.0006112393,0.0001794834,0.007734486,0.9821094,0.00007272459],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.001141765,0.002568629,0.00006510923,0.97992,0.004031563,0.0000159991,0.0001156858,0.00002553204,0.01211564],"genre_scores_gemma":[0.01641549,0.003790285,0.0002188913,0.9604644,0.006073147,0.00002150324,0.00009753159,0.00002168521,0.01289705],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9515468,"threshold_uncertainty_score":0.4105178,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01355665546348953,"score_gpt":0.2874318488532067,"score_spread":0.2738751933897172,"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."}}