{"id":"W2754739856","doi":"10.18433/j3vk90","title":"Biosimilars: State of Clinical and Regulatory Science","year":2017,"lang":"en","type":"article","venue":"Journal of Pharmacy & Pharmaceutical Sciences","topic":"Biosimilars and Bioanalytical Methods","field":"Immunology and Microbiology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; Health Canada","funders":"","keywords":"Regulatory science; Interchangeability; Biosimilar; Viewpoints; Marketing authorization; Authorization; Terminology; Medicine; Political science; Business; Engineering; Computer science; Bioinformatics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.01003212,0.0001539344,0.0005354011,0.0001875514,0.0007497996,0.000116832,0.00135879,0.0000650447,0.000317157],"category_scores_gemma":[0.001522444,0.00009853036,0.0001956966,0.0002244108,0.01677288,0.0006943538,0.00038848,0.0005901854,0.000006471005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001336007,"about_ca_system_score_gemma":0.0004361399,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007291246,"about_ca_topic_score_gemma":9.789073e-7,"domain_scores_codex":[0.9975936,0.000304053,0.001051544,0.0003191382,0.0002865562,0.0004451386],"domain_scores_gemma":[0.9978237,0.0004317576,0.0009429289,0.0002368379,0.0003393176,0.000225498],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003679735,0.0002384261,0.1272671,0.0000277548,0.0001041771,0.00001885027,0.00005479648,0.000001494833,0.4401059,0.0006842466,0.001041624,0.4300876],"study_design_scores_gemma":[0.002958216,0.0004651812,0.121896,0.00008028832,0.0001897176,0.000217393,0.00004602916,0.0004167811,0.7487477,0.001332715,0.1234473,0.0002027293],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9856809,0.005233163,0.00009058622,0.005093649,0.001965224,0.00009905354,0.00001141233,0.000007675028,0.001818339],"genre_scores_gemma":[0.9947812,0.002017113,0.002221599,0.0007663279,0.0001092536,4.033427e-7,5.598959e-8,0.000004687951,0.00009938171],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4298849,"threshold_uncertainty_score":0.9859029,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1954540780110975,"score_gpt":0.5169129429236075,"score_spread":0.32145886491251,"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."}}