{"id":"W4414675678","doi":"10.2147/ceg.s521893","title":"Optimising Monoclonal Antibody Drug Development for Inflammatory Bowel Disease","year":2025,"lang":"en","type":"review","venue":"Clinical and Experimental Gastroenterology","topic":"Monoclonal and Polyclonal Antibodies Research","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Infection and Immunity","funders":"Medac; Genentech; Nordic Pharma Group; Celltrion; Biogen; Gilead Sciences; Amgen; Pfizer; Eli Lilly and Company","keywords":"Inflammatory bowel disease; Monoclonal antibody; Immunogenicity; Antibody; Blockade; Drug development; Cytokine; Drug; Disease","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":[0.0007023361,0.0006618494,0.0008910435,0.0016136,0.0001649314,0.0008461835,0.0006456769,0.0009722961,0.00325471],"category_scores_gemma":[0.0005953043,0.0002930265,0.0004635292,0.001222887,0.0002698432,0.000920632,0.0005720368,0.0013262,0.001896807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005329019,"about_ca_system_score_gemma":0.0007629705,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005948852,"about_ca_topic_score_gemma":0.0011349,"domain_scores_codex":[0.999734,0.00005505764,0.00002750493,0.00003507964,0.0001176202,0.0000306541],"domain_scores_gemma":[0.9998435,0.0000674595,0.00003418062,0.000005217419,0.00003733584,0.00001233918],"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":[0.00009796137,0.0001108262,0.0001301227,0.01888883,0.0001061215,0.0002626863,0.00006499127,0.001299744,0.01036179,0.008052045,0.01466456,0.9459603],"study_design_scores_gemma":[0.00004077112,0.0002237524,0.0003926667,0.002318558,0.000108868,0.0008764821,0.00002899923,0.0003046288,0.003343445,0.001737006,0.9906068,0.00001801395],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0005642666,0.9961395,0.0007377754,0.0001915127,0.0001345775,0.00001863584,0.0000294062,0.00001786207,0.002166526],"genre_scores_gemma":[0.002913787,0.9947045,0.0009265773,0.0001742605,0.00007230509,0.00001927309,0.00005082401,0.000003489745,0.001134913],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.00325471,"threshold_uncertainty_score":0.0108881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06802773564517675,"score_gpt":0.4532540421494152,"score_spread":0.3852263065042384,"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."}}