{"id":"W4406873800","doi":"10.3390/biomedicines13020299","title":"Anti-Drug Antibody Response to Therapeutic Antibodies and Potential Mitigation Strategies","year":2025,"lang":"en","type":"review","venue":"Biomedicines","topic":"Monoclonal and Polyclonal Antibodies Research","field":"Medicine","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"National Institute of Allergy and Infectious Diseases; Canadian Institutes of Health Research; National Institutes of Health; U.S. Department of Health and Human Services","keywords":"Immunogenicity; Monoclonal antibody; Drug; Antibody; Medicine; Drug development; Immune system; Drug delivery; Adverse effect; Immunology; Computational biology; Pharmacology; Biology; Chemistry","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":[0.0007607209,0.0007199885,0.0009122029,0.002113703,0.0002331105,0.0008608707,0.0007768894,0.001180862,0.003631879],"category_scores_gemma":[0.0007654331,0.0002758022,0.0004876642,0.000923222,0.0003745588,0.001002448,0.0005035957,0.00136567,0.001582209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005872328,"about_ca_system_score_gemma":0.0008403286,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007268296,"about_ca_topic_score_gemma":0.001305079,"domain_scores_codex":[0.9997337,0.00005564981,0.00002939141,0.00003887184,0.0001113288,0.00003097892],"domain_scores_gemma":[0.9997132,0.0001378046,0.00005095663,0.000007070294,0.00007103198,0.0000198139],"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":[0.00007837177,0.0001289563,0.0002026252,0.01898964,0.00008615232,0.0003156651,0.00005894743,0.0005514503,0.005092306,0.009398543,0.01667839,0.948419],"study_design_scores_gemma":[0.00002098823,0.0002421653,0.000674655,0.002884397,0.0000853071,0.001721301,0.00005480422,0.0001842365,0.002605764,0.001769381,0.9897395,0.00001768915],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003992796,0.9959691,0.0004147125,0.0004742741,0.0002350747,0.00001762932,0.00002195926,0.00001376578,0.002454323],"genre_scores_gemma":[0.002727777,0.9946586,0.0005348838,0.0003794121,0.0001964942,0.00002734124,0.00003194101,0.000002173709,0.001441314],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003631879,"threshold_uncertainty_score":0.01214987,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03219492086058674,"score_gpt":0.4090819512844834,"score_spread":0.3768870304238967,"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."}}