{"id":"W4399482514","doi":"10.1136/annrheumdis-2024-eular.40","title":"AB0222 THE IMPACT OF BIOSIMILAR USE ON HEALTHCARE UTILIZATION AMONG NEW USERS OF ETANERCEPT FOR INFLAMMATORY ARTHRITIS: A POPULATION-BASED REGRESSION DISCONTINUITY ANALYSIS","year":2024,"lang":"en","type":"article","venue":"Annals of the Rheumatic Diseases","topic":"Biosimilars and Bioanalytical Methods","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; Research Canada; Simon Fraser University","funders":"","keywords":"Biosimilar; Etanercept; Regression discontinuity design; Regression analysis; Population; Discontinuity (linguistics); Health care; Regression; Computer science; Medicine; Statistics; Economics; Environmental health; Machine learning; Rheumatoid arthritis; Internal medicine; Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.0003991004,0.0001741064,0.000517495,0.000182072,0.00009942642,0.00002183216,0.0002540016,0.0001323925,0.0001460603],"category_scores_gemma":[0.0009200877,0.0000837889,0.0009932463,0.0005486608,0.0002726105,0.00009982067,0.00004280404,0.0001026945,6.378503e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001740549,"about_ca_system_score_gemma":0.0001635933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001109472,"about_ca_topic_score_gemma":0.0001748109,"domain_scores_codex":[0.9983851,0.0004948308,0.0006219195,0.0002046947,0.000103498,0.0001899453],"domain_scores_gemma":[0.9977758,0.001114622,0.0004234774,0.000499703,0.0001411145,0.00004526733],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001783486,0.000866491,0.7700685,0.002031436,0.008477061,0.000001351058,0.001104852,0.005460608,0.002539921,0.003481871,0.01999775,0.1841867],"study_design_scores_gemma":[0.0003553033,0.0002555954,0.982946,0.002342834,0.0008337944,3.565376e-7,0.0001370225,0.003239174,0.007940559,0.00176984,0.00005603455,0.0001234313],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9896708,0.006322731,0.0005008159,0.001831822,0.0001361988,0.0005239503,0.0009856835,0.00002283113,0.00000517971],"genre_scores_gemma":[0.9991692,0.0004174324,0.00006737572,0.0001043949,0.000007958678,0.00001279141,0.0001092066,0.00001227116,0.00009936236],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2128776,"threshold_uncertainty_score":0.3416812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08979890712339454,"score_gpt":0.3908102563034888,"score_spread":0.3010113491800943,"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."}}