{"id":"W2401695302","doi":"10.1016/j.jval.2016.03.1507","title":"Oncology Drugs Lag Between Europe and other Countries: Comparaison between EMA and others Agencies (FDA, Health Canada, TGA, and Swissmedic)","year":2016,"lang":"en","type":"article","venue":"Value in Health","topic":"Pharmaceutical Economics and Policy","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Medicine; Food and drug administration; Drug approval; Agency (philosophy); Regulatory affairs; Drug; Regulatory agency; Family medicine; Internal medicine; Oncology; Pharmacology; Operations management; Political science","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":[0.00464597,0.0002423243,0.0006073548,0.003495386,0.0005991671,0.007905103,0.0004155389,0.001297378,0.00604723],"category_scores_gemma":[0.01419421,0.0002389672,0.0009864127,0.008954104,0.001153249,0.003499896,0.002023387,0.001582594,0.000643248],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003122685,"about_ca_system_score_gemma":0.003480504,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03094823,"about_ca_topic_score_gemma":0.0301321,"domain_scores_codex":[0.9973802,0.0006624114,0.0002590557,0.0003156942,0.0005343467,0.0008482804],"domain_scores_gemma":[0.9806716,0.006141952,0.007842016,0.0007225151,0.003041254,0.001580676],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00255584,0.0003015012,0.8184276,0.0005565492,0.001023099,0.0005752338,0.001411616,0.003169758,0.0003157349,0.06642205,0.02799156,0.07724948],"study_design_scores_gemma":[0.0001399264,0.0002202212,0.919538,0.0007128242,0.0004028124,0.0003394925,0.004359113,0.0007769533,0.000630943,0.00561128,0.0672319,0.00003654774],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7924098,0.09323433,0.002188002,0.03476204,0.0007799463,0.00005630704,0.01108506,0.0001001098,0.06538439],"genre_scores_gemma":[0.9858757,0.006790274,0.0003168448,0.002817357,0.0001513809,0.000009108449,0.002489614,0.0000306224,0.001519085],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9690518,"threshold_uncertainty_score":0.06153619,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1278358697310247,"score_gpt":0.3378959370583687,"score_spread":0.210060067327344,"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."}}