{"id":"W2967873913","doi":"10.1016/j.jpba.2019.112802","title":"Part 2: Physicochemical characterization of bevacizumab in 2 mg/mL antibody solutions as used in human i.v. administration: Comparison of originator with a biosimilar candidate","year":2019,"lang":"en","type":"article","venue":"Journal of Pharmaceutical and Biomedical Analysis","topic":"Biosimilars and Bioanalytical Methods","field":"Immunology and Microbiology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Apotex (Canada)","funders":"","keywords":"Chemistry; Biosimilar; Bevacizumab; Chromatography; Dilution","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005021483,0.0003825744,0.0002402598,0.0003061896,0.0001672542,0.0003750556,0.0001772844,0.0005698014,0.001446214],"category_scores_gemma":[0.0009502098,0.0001432712,0.0003086104,0.0002326511,0.0002053422,0.0002112253,0.0001778455,0.0005711088,0.0004643615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002196139,"about_ca_system_score_gemma":0.0002920222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005090944,"about_ca_topic_score_gemma":0.0004231082,"domain_scores_codex":[0.9996487,0.00009406864,0.00003279821,0.00006432364,0.0001281245,0.00003209076],"domain_scores_gemma":[0.9996653,0.0001153223,0.00009191008,0.00002661078,0.0000672458,0.00003371025],"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":[0.0003097106,0.00006594919,0.0003235936,0.00004565901,0.00001210745,0.000041934,0.00004389837,0.00007711447,0.9951073,0.00002687998,0.00009168755,0.003854189],"study_design_scores_gemma":[0.00004882266,0.002100844,0.01090765,0.00001083742,0.00004886477,0.0004703038,0.00003373729,0.001086532,0.9814767,0.00004921478,0.003749318,0.0000172101],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9788447,0.003721772,0.013847,0.0001207953,0.0000810864,0.0003036997,0.0006103376,0.0001487858,0.00232179],"genre_scores_gemma":[0.9704202,0.002232428,0.01836465,0.0004629257,0.00005275237,0.0003994854,0.0022016,0.0001128824,0.00575305],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001446214,"threshold_uncertainty_score":0.004838049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02673011554847484,"score_gpt":0.3792997637106538,"score_spread":0.352569648162179,"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."}}