{"id":"W4364378002","doi":"10.51731/cjht.2023.616","title":"Belimumab (Benlysta)","year":2023,"lang":"en","type":"article","venue":"Canadian Journal of Health Technologies","topic":"Pharmaceutical Economics and Policy","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Belimumab; Reimbursement; Vial; Lupus nephritis; Medicine; Family medicine; Drug; Pharmacology; Internal medicine; Political science; Chemistry; Immunology","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":[0.0008762334,0.0002562391,0.0003290191,0.0006748674,0.0002657226,0.0008013318,0.000328464,0.0005977081,0.0256242],"category_scores_gemma":[0.001401719,0.00007785061,0.0004150696,0.0005358658,0.0003264843,0.0005408123,0.000477152,0.0009676191,0.005371442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001555475,"about_ca_system_score_gemma":0.001551933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009164447,"about_ca_topic_score_gemma":0.02459109,"domain_scores_codex":[0.999554,0.0001508836,0.00002769082,0.00005397426,0.0001569489,0.00005656141],"domain_scores_gemma":[0.99951,0.0001638281,0.0001175374,0.00001655696,0.000114374,0.00007772218],"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":[0.0009295413,0.00008376374,0.001208987,0.002407775,0.0001417637,0.0001824557,0.00003311876,0.0005694202,0.002078765,0.01383919,0.1543835,0.8241417],"study_design_scores_gemma":[0.0003715639,0.0005454011,0.006227301,0.001850101,0.0001432411,0.001254131,0.00004976361,0.0006722362,0.002914746,0.004353852,0.9815916,0.00002611083],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01690054,0.7512031,0.007482808,0.0409371,0.002377723,0.0001926769,0.005562718,0.0005922127,0.174751],"genre_scores_gemma":[0.3665159,0.4298508,0.01215545,0.02154921,0.002114278,0.0003214753,0.006913515,0.0001109062,0.1604684],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.0256242,"threshold_uncertainty_score":0.08572143,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1144331087539732,"score_gpt":0.3097521052128289,"score_spread":0.1953189964588557,"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."}}