{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001602405,0.0001839543,0.0001983513,0.001546816,0.0002226387,0.00097408,0.000533921,0.000544934,0.003165142],"category_scores_gemma":[0.007666978,0.0001470434,0.0007694506,0.001893576,0.0002984238,0.0009272948,0.0009096551,0.0008420236,0.0004757543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001154582,"about_ca_system_score_gemma":0.001090307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03099015,"about_ca_topic_score_gemma":0.03071959,"domain_scores_codex":[0.9988307,0.0002294655,0.0001591504,0.0002306666,0.000256189,0.0002937331],"domain_scores_gemma":[0.9919951,0.001292557,0.005246469,0.0001926491,0.0006387291,0.0006345175],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001077187,0.00003251998,0.9945831,0.00002162797,0.00006829275,0.00004347427,0.0002109803,0.0003106301,0.0001498653,0.000196341,0.0006321574,0.003643303],"study_design_scores_gemma":[0.000006486629,0.00004568828,0.9972333,0.00003845263,0.00002428222,0.0001195618,0.0004397157,0.0009078414,0.0001389296,0.00008018857,0.000958963,0.000006591048],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923756,0.0005479011,0.0002363046,0.001022496,0.00001062041,0.00001511604,0.004374078,0.00001662232,0.001401314],"genre_scores_gemma":[0.9957586,0.0001947933,0.0001436317,0.000140225,0.00001728996,0.00002026141,0.003296793,0.000005533872,0.0004228768],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03099015,"threshold_uncertainty_score":0.06161952,"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."}}