{"id":"W2996718802","doi":"10.1016/j.jval.2019.09.632","title":"PCN439 DEVELOPING A DISCRETE-EVENT SIMULATION TO STUDY THE INFLUENCE OF WAITING TIMES ON THE EFFECTIVENESS AND COST-EFFECTIVENESS OF CHIMERIC ANTIGEN RECEPTOR (CAR) T-CELL THERAPY IN LARGE B-CELL LYMPHOMA","year":2019,"lang":"en","type":"article","venue":"Value in Health","topic":"CAR-T cell therapy research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Princess Margaret Cancer Centre; University of Guelph; University of Waterloo","funders":"","keywords":"Medicine; Chimeric antigen receptor; Cost-effectiveness analysis; Cost effectiveness; Oncology; Lymphoma; Internal medicine; Immunotherapy; Cancer","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":[0.001860064,0.0006225852,0.000936389,0.0004836195,0.0003849479,0.0008649502,0.001185423,0.00127947,0.006298271],"category_scores_gemma":[0.006525104,0.0005863947,0.001032556,0.0004125092,0.0004271983,0.0004570645,0.0005992068,0.001191181,0.000295641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001109509,"about_ca_system_score_gemma":0.002622321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04703997,"about_ca_topic_score_gemma":0.01973965,"domain_scores_codex":[0.9995025,0.0002688071,0.00001815112,0.00005692082,0.00008498722,0.0000686942],"domain_scores_gemma":[0.9925011,0.006649003,0.0001645776,0.0001289507,0.0003975831,0.0001588703],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004925944,0.00004413617,0.0003416506,0.00001796262,0.0000220628,0.0000133793,0.000005924579,0.9967189,0.0001081491,0.001045004,0.0001713316,0.001462101],"study_design_scores_gemma":[0.000022179,0.00001096941,0.0000313275,0.000001242986,0.000003881976,0.000001237597,0.000001796055,0.9995818,0.00005794576,0.0002006763,0.00008571362,0.000001308272],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3557768,0.00050224,0.6132224,0.001369455,0.0003361163,0.0005694803,0.001541749,0.001998636,0.02468315],"genre_scores_gemma":[0.8871943,0.0002204873,0.1062787,0.0002191358,0.00004364605,0.000395664,0.0007367175,0.0001589003,0.0047525],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04703997,"threshold_uncertainty_score":0.09353238,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04619662143292034,"score_gpt":0.3712788965255474,"score_spread":0.325082275092627,"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."}}