{"id":"W2807527424","doi":"10.1038/s41598-018-20599-4","title":"Application of Assisted Design of Antibody and Protein Therapeutics (ADAPT) improves efficacy of a Clostridium difficile toxin A single-domain antibody","year":2018,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Clostridium difficile and Clostridium perfringens research","field":"Medicine","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"William Osler Health System; University of Ottawa; McGill University; National Research Council Canada","funders":"","keywords":"Single-domain antibody; Monoclonal antibody; Clostridium difficile; Antibody; Clostridium difficile toxin A; Toxin; Mutant; Immunotoxin; Neutralization; Chemistry; Humanized antibody; Antitoxin; Recombinant DNA; Computational biology; Molecular biology; Biology; Biochemistry; Immunology; Antibiotics; Gene","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001738278,0.0002604719,0.0007066449,0.0004521255,0.0001467399,0.00004661255,0.0001815834,0.0001823919,0.0000356644],"category_scores_gemma":[0.0004023371,0.0002201221,0.0001685475,0.001274835,0.001634883,0.00008361028,0.0001470181,0.0001861939,0.000003233232],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007156117,"about_ca_system_score_gemma":0.0005479256,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009998481,"about_ca_topic_score_gemma":0.000005227187,"domain_scores_codex":[0.9962363,0.0001342086,0.001286257,0.0008119822,0.001097126,0.0004341846],"domain_scores_gemma":[0.9963403,0.0001548458,0.0009617915,0.001296527,0.001074966,0.0001715899],"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":[0.0005863876,0.00152636,0.0009694654,0.0003801987,0.0001117628,0.00003581305,0.0003656441,0.000003289199,0.9882189,0.00005238973,0.0001300162,0.007619786],"study_design_scores_gemma":[0.001094915,0.001521316,0.00345956,0.0003157847,0.0001336778,0.0001508129,0.0002132774,0.0009359791,0.9904638,0.000239839,0.001293697,0.0001773659],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9892269,0.0004399375,0.007174264,0.0001562224,0.0003054817,0.002188819,0.00001686363,0.00004006906,0.0004513847],"genre_scores_gemma":[0.9961914,0.00001735894,0.003130447,0.000006571908,0.00009664299,0.00002772996,0.00009981567,0.00003623911,0.000393787],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007442419,"threshold_uncertainty_score":0.8976318,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03752290401310477,"score_gpt":0.3272213489959674,"score_spread":0.2896984449828626,"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."}}