{"id":"W4401134684","doi":"10.1002/art.42963","title":"Patterns of Infliximab Biosimilar Uptake for Medicare, Medicaid, and Private Insurance from 2016 to 2022","year":2024,"lang":"en","type":"article","venue":"Arthritis & Rheumatology","topic":"Biosimilars and Bioanalytical Methods","field":"Immunology and Microbiology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Institute of Arthritis and Musculoskeletal and Skin Diseases; Agency for Healthcare Research and Quality; National Institutes of Health; Pfizer","keywords":"Biosimilar; Infliximab; Medicaid; Private insurance; Business; Reimbursement; Actuarial science; Pharmacology; Medicine; Internal medicine; Economics; Health care; Tumor necrosis factor alpha; Economic growth","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004634559,0.0002261388,0.0006977034,0.000166788,0.00008981273,0.00001697631,0.0002564607,0.0004488753,0.001058361],"category_scores_gemma":[0.0004593717,0.0001875148,0.0001215964,0.0001702069,0.0003581646,0.00006961231,0.000181773,0.0002743294,0.00005959156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001241567,"about_ca_system_score_gemma":0.00007105496,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000167245,"about_ca_topic_score_gemma":0.0001452494,"domain_scores_codex":[0.9981006,0.0001809148,0.0006436058,0.0005638966,0.00006060717,0.0004503884],"domain_scores_gemma":[0.998518,0.0009373148,0.00008776831,0.0003030053,0.00006607649,0.00008780215],"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":[0.0004077384,0.0001849783,0.05333358,0.0004301858,0.001074946,0.00006401505,0.001096259,2.222367e-7,0.08286468,0.02607697,0.046498,0.7879684],"study_design_scores_gemma":[0.003497075,0.0008717421,0.02668478,0.001886932,0.00008784706,0.0003689342,0.0002188567,0.00003937468,0.05316273,0.008496542,0.9041473,0.0005379526],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8834148,0.09429608,0.007247223,0.009255964,0.002479087,0.0005549398,0.002494712,0.0001303283,0.0001268755],"genre_scores_gemma":[0.98203,0.01339205,0.003074192,0.001026476,0.0000266413,0.00009346323,0.00009674451,0.00002976176,0.0002306662],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8576492,"threshold_uncertainty_score":0.9998548,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01127222458827696,"score_gpt":0.2678203226603281,"score_spread":0.2565480980720511,"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."}}