{"id":"W2809845542","doi":"10.1016/j.jval.2018.04.1716","title":"Belimumab for the Treatment of Adults Living with Active Systemic Lupus Erythematosus: A Cost-Effectiveness Analysis in Canada","year":2018,"lang":"en","type":"article","venue":"Value in Health","topic":"Systemic Lupus Erythematosus Research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"GlaxoSmithKline (Canada)","funders":"","keywords":"Belimumab; Medicine; Quality-adjusted life year; Population; Quality of life (healthcare); Cost–benefit analysis; Incremental cost-effectiveness ratio; Cohort; Cost-effectiveness analysis; Economic evaluation; Cost effectiveness; Internal medicine; Environmental health; Immunology; Risk analysis (engineering)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.002586366,0.0007029092,0.002004897,0.002054085,0.001209612,0.002344063,0.001172539,0.0008575089,0.002560537],"category_scores_gemma":[0.01120742,0.0005606504,0.004061378,0.005624688,0.000811066,0.0006253232,0.0007578654,0.001835226,0.00007747757],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.08182254,"about_ca_system_score_gemma":0.08092421,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.979341,"about_ca_topic_score_gemma":0.9869202,"domain_scores_codex":[0.9966195,0.001014743,0.0002923411,0.0001907255,0.00121305,0.0006696683],"domain_scores_gemma":[0.9939371,0.001865408,0.000924613,0.00008866922,0.001939632,0.00124451],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.07682365,0.002437006,0.5404307,0.0208679,0.03675929,0.001705526,0.001006987,0.03898053,0.001452516,0.006572244,0.0355717,0.2373919],"study_design_scores_gemma":[0.0342655,0.005033607,0.8238646,0.008017098,0.05365869,0.0011517,0.002754802,0.04716191,0.000768922,0.001797025,0.02106671,0.0004595618],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8653532,0.09913081,0.0007189109,0.00827054,0.0002486406,0.001141408,0.0165986,0.00004521911,0.008492847],"genre_scores_gemma":[0.9700806,0.02387769,0.001034062,0.0009126969,0.00006111246,0.0001444747,0.003031782,0.00001245466,0.0008450624],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9181775,"threshold_uncertainty_score":0.5936669,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03828282117421825,"score_gpt":0.3294544794386287,"score_spread":0.2911716582644104,"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."}}