{"id":"W2922206684","doi":"10.1093/eurheartj/ehz119","title":"Febuxostat for Cerebral and CaRdiorenovascular Events PrEvEntion StuDy","year":2019,"lang":"en","type":"article","venue":"European Heart Journal","topic":"Gout, Hyperuricemia, Uric Acid","field":"Medicine","cited_by":231,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Sanofi K.K.; Pfizer Japan; Boehringer Ingelheim Japan; Astellas Foundation for Research on Metabolic Disorders; Kyowa Hakko Kirin; Teijin Pharma; Daiichi-Sankyo; Ministry of Education, Culture, Sports, Science and Technology; MSD K.K.; Asahi Kasei Pharma Corporation; Astellas Pharma US; Kowa Company; Chugai Pharmaceutical; Eisai Canada; Mitsubishi Tanabe Pharma Corporation; Nihon Medi-Physics; Takeda Pharmaceutical Company; Daiichi Sankyo Europe; Kowa Pharmaceutical Europe; Medtronic; Dainippon Sumitomo Pharma; Pfizer; Novartis Pharma; Otsuka Pharmaceutical; Japan Agency for Medical Research and Development; Boston Scientific Japan","keywords":"Medicine; Febuxostat; Internal medicine; Hyperuricemia; Uric acid","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001468347,0.0001558409,0.0003286473,0.0001107632,0.0001408501,0.00004670919,0.00008093657,0.00002901935,0.0001271811],"category_scores_gemma":[0.00009207145,0.0001280687,0.0002192782,0.00009809138,0.00001727442,0.0001465498,0.0000718818,0.0003491618,0.0002156375],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005823603,"about_ca_system_score_gemma":0.00005979519,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002669726,"about_ca_topic_score_gemma":3.968346e-7,"domain_scores_codex":[0.9984293,0.000319199,0.0003018426,0.0002661562,0.0003929749,0.0002905195],"domain_scores_gemma":[0.9992397,0.0000341801,0.00009659643,0.0003013729,0.0001028969,0.0002252167],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002154682,0.0003761947,0.9848177,0.00007670912,0.0006092827,0.0001420375,0.000922829,0.0000178304,0.001466422,0.000006130765,0.00607459,0.005274826],"study_design_scores_gemma":[0.006957198,0.002414694,0.946274,0.0001363734,0.0004303615,0.003194776,0.0008593336,0.00006274293,0.00009614739,0.000039979,0.03936182,0.0001725484],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951677,0.0004683644,0.0005165793,0.0003611849,0.0004969575,0.001099749,0.00000282465,0.00003467451,0.001851946],"genre_scores_gemma":[0.9934062,0.00002655607,0.001937043,0.0002256192,0.0006689132,0.00000377083,0.000006389813,0.00006119408,0.003664249],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03854366,"threshold_uncertainty_score":0.5222488,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03688836735067023,"score_gpt":0.3152020890768249,"score_spread":0.2783137217261547,"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."}}