{"id":"W4380184439","doi":"10.1016/j.jval.2023.03.2621","title":"HPR144 Coverage of Biologics for Rheumatoid Arthritis in Canada","year":2023,"lang":"en","type":"article","venue":"Value in Health","topic":"Biosimilars and Bioanalytical Methods","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Agency for Drugs and Technologies in Health","funders":"","keywords":"Medicine; Guideline; Rheumatoid arthritis; Antirheumatic drugs; Equity (law); Actuarial science; Antirheumatic Agents; Business; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001046848,0.00008366152,0.0003776745,0.0001112095,0.0000348606,0.000001592085,0.0001079168,0.0001271381,0.00005388488],"category_scores_gemma":[0.000309538,0.0000715717,0.00003920167,0.0003612429,0.00005478974,0.00001269412,0.00003438962,0.0001675278,0.000005851047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001738361,"about_ca_system_score_gemma":0.0008837198,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.742477,"about_ca_topic_score_gemma":0.5368046,"domain_scores_codex":[0.9985983,0.0003019517,0.0004998692,0.0001840238,0.00002296067,0.0003928499],"domain_scores_gemma":[0.99902,0.000708784,0.0001025991,0.0001271251,0.00001884272,0.00002261117],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00073885,0.000451967,0.446559,0.001279849,0.0001517578,0.00005850398,0.0008247099,0.003452884,0.0174707,0.03386698,0.05053761,0.4446072],"study_design_scores_gemma":[0.01359918,0.002667005,0.4661731,0.002414318,0.000008625675,0.00007173033,0.001985783,0.006212368,0.03530935,0.0374234,0.4328894,0.0012458],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9838551,0.008985282,0.0001951741,0.00464452,0.00104598,0.0006005861,0.0004229983,0.0000280756,0.000222299],"genre_scores_gemma":[0.9883761,0.01025276,0.0005395589,0.0006673881,0.000006800555,0.00001951635,0.00004046977,0.000007098167,0.0000902949],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4433614,"threshold_uncertainty_score":0.4716475,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05111866706465138,"score_gpt":0.302954672916902,"score_spread":0.2518360058522506,"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."}}