{"id":"W2796394809","doi":"10.1200/jco.2012.30.15_suppl.e18562","title":"Number needed to treat (NNT) as a measure of drug benefit: Lenalidomide versus bortezomib for treatment of relapsed/refractory multiple myeloma (MM).","year":2012,"lang":"en","type":"article","venue":"Journal of Clinical Oncology","topic":"Multiple Myeloma Research and Treatments","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Augmentium Pharma Consulting (Canada)","funders":"","keywords":"Medicine; Number needed to treat; Lenalidomide; Multiple myeloma; Bortezomib; Refractory (planetary science); Thalidomide; Internal medicine; Confidence interval; Oncology; Surgery; Relative risk","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.04299616,0.0009050244,0.003706677,0.002256757,0.000193647,0.0009065717,0.0008834187,0.001240083,0.005327465],"category_scores_gemma":[0.04315368,0.0002656714,0.006071154,0.001633237,0.001110931,0.001373717,0.000962677,0.002442679,0.0002675101],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001999252,"about_ca_system_score_gemma":0.0009366719,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002159595,"about_ca_topic_score_gemma":0.0004273992,"domain_scores_codex":[0.9492326,0.04375159,0.001864791,0.001127661,0.003720979,0.0003022794],"domain_scores_gemma":[0.9631397,0.03275772,0.002830491,0.0004049663,0.0005412612,0.0003257659],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.2604903,0.001508374,0.0485073,0.02564069,0.06739322,0.0008952808,0.0005133576,0.06784193,0.003485943,0.02497265,0.01583314,0.4829179],"study_design_scores_gemma":[0.0656631,0.1295347,0.1556306,0.01194945,0.09382093,0.00669062,0.001077443,0.2829756,0.01316885,0.1025609,0.1361149,0.000812965],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4729261,0.3707768,0.09923609,0.007974891,0.006934995,0.01064074,0.0049365,0.00022996,0.02634387],"genre_scores_gemma":[0.9372305,0.01251742,0.03871914,0.002161619,0.0007193588,0.004750008,0.001256374,0.0000767939,0.002568861],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04299616,"threshold_uncertainty_score":0.2273881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1779468266238725,"score_gpt":0.4841414984032746,"score_spread":0.3061946717794022,"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."}}