{"id":"W2561655163","doi":"","title":"Subsequent entry biologic (biosimilar) monoclonal antibodies in Canada: A review of key regulatory issues and lessons learned","year":2016,"lang":"en","type":"review","venue":"Immunome Research","topic":"Biosimilars and Bioanalytical Methods","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Biosimilar; Monoclonal antibody; Key (lock); Computer science; Computational biology; Medicine; Antibody; Immunology; Biology; Computer security; Internal medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002588192,0.0007928651,0.001130493,0.003141371,0.0007682169,0.002599418,0.001266209,0.00194725,0.005005275],"category_scores_gemma":[0.00302108,0.0003213633,0.0006065224,0.004401617,0.001315057,0.001676689,0.0008922652,0.0023251,0.0008473247],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01201786,"about_ca_system_score_gemma":0.03392055,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2290063,"about_ca_topic_score_gemma":0.419649,"domain_scores_codex":[0.9990956,0.00006939658,0.0000816856,0.00009076831,0.0005345618,0.0001281174],"domain_scores_gemma":[0.997622,0.0005994551,0.000296739,0.00003100144,0.001248959,0.0002018968],"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":[0.0001581897,0.00008324537,0.0005430604,0.01881723,0.00006915764,0.0004126661,0.0002038787,0.0003921958,0.001947422,0.009890502,0.09105893,0.8764235],"study_design_scores_gemma":[0.00001285546,0.00003310151,0.0009818343,0.004177844,0.00006053782,0.0003115353,0.0001072119,0.00004596304,0.0005627268,0.0007027122,0.9929865,0.00001721861],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002059165,0.9959164,0.00008012438,0.001269056,0.0003347213,0.000008097331,0.00005638272,0.000005165807,0.002124056],"genre_scores_gemma":[0.001185657,0.9961952,0.0001834217,0.0007592176,0.0001081313,0.000004384546,0.00004658362,0.000002047843,0.00151536],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9879822,"threshold_uncertainty_score":0.4553467,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2396019944556534,"score_gpt":0.4691900245388563,"score_spread":0.2295880300832029,"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."}}