{"id":"W4388204778","doi":"10.1200/op.2023.19.11_suppl.9","title":"Cost-effectiveness analysis of bevacizumab biosimilars for metastatic colorectal cancer: A comparative study using real-world data.","year":2023,"lang":"en","type":"article","venue":"JCO Oncology Practice","topic":"Biosimilars and Bioanalytical Methods","field":"Immunology and Microbiology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; Canadian Centre for Applied Research in Cancer Control; Health Sciences Centre; Sunnybrook Health Science Centre","funders":"","keywords":"Biosimilar; Bevacizumab; Medicine; Population; Colorectal cancer; Oncology; Internal medicine; Cost effectiveness; Propensity score matching; Quality-adjusted life year; Cohort; Cancer; Environmental health; Chemotherapy; 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":[0.01205519,0.001090347,0.00129828,0.003600381,0.0003722478,0.001501556,0.001554809,0.001239353,0.002599231],"category_scores_gemma":[0.04025071,0.0004646464,0.004667138,0.004570084,0.0008880892,0.001302159,0.0009639453,0.001037233,0.0001570081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02061837,"about_ca_system_score_gemma":0.00546095,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1021022,"about_ca_topic_score_gemma":0.07982618,"domain_scores_codex":[0.9908019,0.005583192,0.0007598432,0.0006703943,0.001707643,0.0004770354],"domain_scores_gemma":[0.9687583,0.01694467,0.009200411,0.001496307,0.002532793,0.001067394],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.1609921,0.005925323,0.5722622,0.01079082,0.06012563,0.0007481553,0.000668218,0.08855702,0.001261463,0.004325709,0.005236282,0.0891071],"study_design_scores_gemma":[0.02899082,0.02929542,0.8039159,0.001956595,0.02569298,0.001551459,0.0008529747,0.09504753,0.00107371,0.001913436,0.009297573,0.0004115806],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9708093,0.01316444,0.00167395,0.000451869,0.00005531588,0.00104465,0.01102949,0.00002627495,0.001744736],"genre_scores_gemma":[0.9932888,0.001307089,0.0008539482,0.00007922458,0.00002777024,0.0002455142,0.004104545,0.000005829135,0.0000872173],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1021022,"threshold_uncertainty_score":0.2030159,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3840817431037803,"score_gpt":0.5530617835706201,"score_spread":0.1689800404668397,"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."}}