{"id":"W4283514070","doi":"10.1016/j.jval.2022.04.751","title":"EE505 Canada's Evolving Market for Biosimilars and What It Means for Payers","year":2022,"lang":"en","type":"article","venue":"Value in Health","topic":"Biosimilars and Bioanalytical Methods","field":"Immunology and Microbiology","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Biosimilar; Business; Public economics; Medicine; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001948714,0.0001344817,0.0003218135,0.00008810923,0.0004317027,0.00002464673,0.0001539753,0.00009357765,0.0003232804],"category_scores_gemma":[0.0002674843,0.0001246972,0.00006342294,0.000144572,0.00006974053,0.00006850358,0.00008664342,0.0002424469,2.264681e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003249245,"about_ca_system_score_gemma":0.0006140117,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.05589109,"about_ca_topic_score_gemma":0.04815764,"domain_scores_codex":[0.9982402,0.0004673156,0.0003712102,0.0003418055,0.00004556133,0.0005339057],"domain_scores_gemma":[0.9985007,0.001140975,0.0001077604,0.0001625847,0.00003338947,0.00005461147],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000975213,0.0002256138,0.003284206,0.0009147549,0.0002237131,0.000006666294,0.0009454975,0.0003233835,0.002237056,0.002709173,0.9033391,0.08481563],"study_design_scores_gemma":[0.001694455,0.0006687068,0.001447624,0.00009821213,0.00002776337,0.00002515625,0.003589297,0.005454401,0.0006129498,0.001320891,0.9848077,0.0002527882],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.05737269,0.1756146,0.007407625,0.7275587,0.01543964,0.01090232,0.004206809,0.0001857871,0.001311797],"genre_scores_gemma":[0.8092,0.008568797,0.0447749,0.1273191,0.000243281,0.001504997,0.0002992132,0.0001625722,0.007927177],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7518273,"threshold_uncertainty_score":0.969211,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03955446445295664,"score_gpt":0.3009156528136979,"score_spread":0.2613611883607413,"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."}}