{"id":"W4399483155","doi":"10.1136/annrheumdis-2024-eular.651","title":"AB1435 BUDGET IMPACT ANALYSIS OF A TOCILIZUMAB BIOSIMILAR: A UK PAYER PERSPECTIVE","year":2024,"lang":"en","type":"article","venue":"Annals of the Rheumatic Diseases","topic":"Biosimilars and Bioanalytical Methods","field":"Immunology and Microbiology","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"EVERSANA (Canada)","funders":"","keywords":"Biosimilar; Tocilizumab; Perspective (graphical); Computer science; Medicine; Rheumatoid arthritis; Artificial intelligence; Internal medicine","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":[0.0105431,0.0008282137,0.001341587,0.002618066,0.0005424302,0.005920507,0.0009851312,0.005316868,0.01273741],"category_scores_gemma":[0.03879472,0.0004511569,0.002739996,0.002848713,0.0007674153,0.00217147,0.001616457,0.005904102,0.00119329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009452675,"about_ca_system_score_gemma":0.01287844,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02762287,"about_ca_topic_score_gemma":0.0224036,"domain_scores_codex":[0.9855942,0.008384515,0.0008794236,0.0005262808,0.003070772,0.001544787],"domain_scores_gemma":[0.9716192,0.01348189,0.00384489,0.000537287,0.007156273,0.003360403],"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":[0.02533301,0.0008878876,0.03852803,0.005469266,0.004102832,0.002306366,0.0008932935,0.05526846,0.008039005,0.1197204,0.3419819,0.3974695],"study_design_scores_gemma":[0.004970013,0.008173238,0.1400718,0.0159245,0.006842033,0.003502469,0.00329683,0.03704849,0.004064804,0.0489926,0.726365,0.0007482491],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1798145,0.1078404,0.008713214,0.5158644,0.01025191,0.0005536613,0.01755182,0.0003132672,0.1590968],"genre_scores_gemma":[0.8828064,0.0298818,0.004570043,0.05827347,0.007344409,0.000352652,0.004443058,0.0002095274,0.01211873],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02762287,"threshold_uncertainty_score":0.06858426,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03591416034762759,"score_gpt":0.3728406007075395,"score_spread":0.336926440359912,"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."}}