{"id":"W2943442365","doi":"10.1002/dta.2609","title":"Rapid characterization of structural and functional similarity for a candidate bevacizumab (Avastin) biosimilar using a multipronged mass‐spectrometry‐based approach","year":2019,"lang":"en","type":"article","venue":"Drug Testing and Analysis","topic":"Monoclonal and Polyclonal Antibodies Research","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Apotex (Canada); IONICS Mass Spectrometry (Canada); York University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biosimilar; Hydrogen–deuterium exchange; Chemistry; Mass spectrometry; Drug development; Bevacizumab; Small molecule; Tandem mass spectrometry; Computational biology; Drug; Pharmacology; Chromatography; Medicine; Biochemistry; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003067928,0.0001590651,0.0004715528,0.0004124877,0.0001615185,0.00003319194,0.00003905308,0.00005509696,0.00005075415],"category_scores_gemma":[0.0002163683,0.0001263011,0.0001347172,0.00078111,0.00008948837,0.00006770328,0.00003242181,0.0001331042,3.191008e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002740406,"about_ca_system_score_gemma":0.00007236497,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002172808,"about_ca_topic_score_gemma":0.000004511341,"domain_scores_codex":[0.99882,0.00005101486,0.0002711918,0.0003537888,0.0002683881,0.0002356288],"domain_scores_gemma":[0.9990842,0.0002861417,0.0001494195,0.0001420668,0.0002204363,0.0001177243],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003912773,0.00004216062,0.5971258,0.0004843035,0.0005056462,0.00000163823,0.00007491408,0.000263154,0.3995053,0.00001446454,0.000002405148,0.001588863],"study_design_scores_gemma":[0.00105074,0.0001022712,0.3195405,0.00004201892,0.0007066494,0.00001001715,0.00004502707,0.6724779,0.005875679,0.00002073659,0.00001441411,0.0001140313],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990961,0.000154301,0.008063123,0.0001947551,0.00001989671,0.0003191611,0.0002102008,0.00002213137,0.0000554538],"genre_scores_gemma":[0.9569421,0.0000106421,0.04224238,0.00006309121,0.00006457356,0.000008197061,0.0005096213,0.00001213923,0.0001472476],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6722147,"threshold_uncertainty_score":0.5150408,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04236129727187413,"score_gpt":0.2862754239209636,"score_spread":0.2439141266490894,"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."}}