{"id":"W2598674670","doi":"10.3899/jrheum.151476","title":"Cost-effectiveness Analysis for Genotyping before Allopurinol Treatment to Prevent Severe Cutaneous Adverse Drug Reactions","year":2017,"lang":"en","type":"article","venue":"The Journal of Rheumatology","topic":"Drug-Induced Adverse Reactions","field":"Medicine","cited_by":65,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Kaohsiung Medical University; Chang Gung Medical Foundation","keywords":"Medicine; Allopurinol; Internal medicine; Febuxostat; Cohort; Benzbromarone; Adverse effect; Cost-effectiveness analysis; Surgery; Cost effectiveness; Hyperuricemia; Uric acid","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0005040983,0.0002018289,0.0007805917,0.0003533354,0.0006153505,0.00001783755,0.0002771489,0.00009103642,0.00001680178],"category_scores_gemma":[0.0004369452,0.0001309775,0.0005106391,0.0001538693,0.00009050942,0.0001386413,0.00005904283,0.0002418175,0.00002912166],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006257969,"about_ca_system_score_gemma":0.0002602699,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000845428,"about_ca_topic_score_gemma":0.001161303,"domain_scores_codex":[0.9986359,0.0001683108,0.0005142927,0.0001736126,0.0001892293,0.0003186656],"domain_scores_gemma":[0.9974137,0.0005311263,0.0007896711,0.0007079138,0.0003270404,0.0002305261],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006276228,0.006061725,0.5407801,0.0008855775,0.06749886,0.0009105987,0.02255935,0.06076375,0.01435551,0.003099102,0.0007894292,0.2760198],"study_design_scores_gemma":[0.01476404,0.002566108,0.62118,0.001795725,0.03533331,0.1679601,0.008481512,0.002313392,0.008535118,0.001509371,0.134514,0.001047377],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9913715,0.00005444235,0.002815676,0.003147941,0.0005466574,0.001330512,0.00002196573,0.00002229782,0.0006890601],"genre_scores_gemma":[0.9977926,0.0002780278,0.0008200938,0.0000447191,0.00003783215,0.00006386735,0.000006446452,0.0000262807,0.0009301553],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2749724,"threshold_uncertainty_score":0.5341106,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04265703513143517,"score_gpt":0.3455234713381279,"score_spread":0.3028664362066927,"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."}}