{"id":"W3109958337","doi":"10.1016/j.drudis.2020.11.024","title":"Market access of gene therapies across Europe, USA, and Canada: challenges, trends, and solutions","year":2020,"lang":"en","type":"review","venue":"Drug Discovery Today","topic":"CAR-T cell therapy research","field":"Medicine","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fonds Wetenschappelijk Onderzoek; Canadian Armed Forces; Vlaamse regering; McMaster University","keywords":"Market access; Drug discovery; Computational biology; Business; Biology; Bioinformatics; Ecology","routes":{"ca_aff":false,"ca_fund":true,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000457835,0.0004688921,0.001886817,0.0001570892,0.0001315353,0.0001239203,0.0003542039,0.0001448258,0.0007518624],"category_scores_gemma":[0.0000860664,0.0003545526,0.0002023718,0.0004346904,0.0003006709,0.0002218996,0.0004820595,0.0005426772,0.000002747245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001739969,"about_ca_system_score_gemma":0.001394985,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.06743699,"about_ca_topic_score_gemma":0.2506449,"domain_scores_codex":[0.9974014,0.0003234276,0.0005416481,0.0006610428,0.0005491353,0.0005234162],"domain_scores_gemma":[0.9984824,0.0003404554,0.0002372692,0.0005729594,0.00009223082,0.0002746823],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008429199,0.00006139012,0.00009784153,0.008847026,0.0006959387,0.0001535438,0.0003184161,8.585668e-8,0.00001570753,0.00007761371,0.01407303,0.9755751],"study_design_scores_gemma":[0.0005052235,0.00006645862,0.001719468,0.002354319,0.0003569922,0.0001411994,0.0001183111,0.00000298322,0.00001027469,0.000004394803,0.9944286,0.0002918259],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003426568,0.9886764,0.000002094208,0.001821091,0.0001609417,0.0005488236,0.001185971,0.00001510672,0.007246917],"genre_scores_gemma":[0.000219536,0.9638528,0.00001456626,0.00009524687,0.0002698403,0.00005921493,0.0001641814,0.00009060666,0.03523405],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9803555,"threshold_uncertainty_score":0.9998906,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08096664045937163,"score_gpt":0.3571380909215697,"score_spread":0.276171450462198,"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."}}