{"id":"W4412047066","doi":"10.1002/bit.70016","title":"A Surface Plasmon Resonance‐Based Integrated Assay for Quantification and Glycosylation Characterization of Monoclonal Antibodies in Crude Heterogeneous Samples","year":2025,"lang":"en","type":"article","venue":"Biotechnology and Bioengineering","topic":"Monoclonal and Polyclonal Antibodies Research","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Monoclonal antibody; Biopharmaceutical; Surface plasmon resonance; Glycosylation; Fucosylation; Biosensor; Glycan; Chemistry; Antibody; Chromatography; Biochemistry; Glycoprotein; Nanotechnology; Biology; Materials science; Immunology; Biotechnology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001098933,0.001243755,0.0005848442,0.0009660587,0.0003039359,0.0005942279,0.0008734417,0.001289116,0.0005471903],"category_scores_gemma":[0.0009752412,0.0004424002,0.0004628459,0.0007254864,0.0003795605,0.00045525,0.0005245238,0.001487568,0.0005194308],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003887848,"about_ca_system_score_gemma":0.0004802915,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000688869,"about_ca_topic_score_gemma":0.001195966,"domain_scores_codex":[0.9983073,0.0003956395,0.0001154232,0.000543257,0.0005215796,0.0001166803],"domain_scores_gemma":[0.9995461,0.0001462837,0.00007681624,0.00007234933,0.0001114274,0.00004696726],"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":[0.00001980964,0.00003506228,0.0001201393,0.00003281597,0.000009086518,0.00001065028,0.00001459829,0.0000706541,0.9973714,0.00004923709,0.00002680116,0.002239706],"study_design_scores_gemma":[0.00001083453,0.0003033486,0.002037528,0.00001099123,0.000040103,0.0001634802,0.00001657203,0.005841759,0.9902727,0.00008503733,0.001200263,0.00001726507],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3914492,0.003086976,0.6006517,0.0001820004,0.0001242689,0.0004937827,0.000778746,0.001240526,0.001992717],"genre_scores_gemma":[0.5081973,0.001956633,0.4836751,0.0002868537,0.00005998589,0.0007538619,0.00147513,0.00009767185,0.003497445],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001289116,"threshold_uncertainty_score":0.005811751,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02815622585187229,"score_gpt":0.2947603718704895,"score_spread":0.2666041460186173,"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."}}