{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01303261,0.0006600621,0.001118532,0.001097501,0.0008171456,0.002371923,0.002733464,0.002101179,0.005358707],"category_scores_gemma":[0.03489612,0.0008569375,0.005101771,0.002151278,0.0006397488,0.00109558,0.001640823,0.004454364,0.0005044833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001007618,"about_ca_system_score_gemma":0.001370499,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04172271,"about_ca_topic_score_gemma":0.01784977,"domain_scores_codex":[0.9805982,0.01344833,0.001251475,0.002216026,0.001178827,0.001307196],"domain_scores_gemma":[0.9656412,0.02168651,0.00624365,0.003046007,0.002008342,0.001374339],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006736047,0.000753517,0.9718265,0.0001290091,0.007965886,0.0001819549,0.0003129157,0.001729771,0.00036158,0.0007684045,0.001323898,0.007910535],"study_design_scores_gemma":[0.0008877959,0.002285214,0.9444346,0.0001341819,0.008345493,0.0003633851,0.0008230558,0.03906485,0.0005184801,0.0009849715,0.002077912,0.00008001517],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9909738,0.0009353452,0.003801954,0.0005432533,0.00009435523,0.00008624717,0.002674398,0.00004395108,0.0008467517],"genre_scores_gemma":[0.995843,0.0001769946,0.001012598,0.0002140349,0.00005383544,0.00009989055,0.001192736,0.00002708111,0.001379981],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04172271,"threshold_uncertainty_score":0.08295971,"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."}}