{"id":"W124230207","doi":"10.1007/978-1-62703-586-6_14","title":"Phage Display Technology for Human Monoclonal Antibodies","year":2013,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Monoclonal and Polyclonal Antibodies Research","field":"Medicine","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Tufts University School of Medicine; Centro Singular de Investigación de Galicia; Uppsala Universitet; Technische Universität Braunschweig; Japan Society for the Promotion of Science; National Institute of Diabetes and Digestive and Kidney Diseases; University of Tokyo; Università degli Studi del Piemonte Orientale; Hebrew University of Jerusalem; Eidgenössische Technische Hochschule Zürich; University of Toronto; Chugai Pharmaceutical","keywords":"Phage display; Monoclonal antibody; Phagemid; Selection (genetic algorithm); Antibody; Biology; Computational biology; Effector; Function (biology); Negative selection; Hybridoma technology; Gene; Genetics; Bacteriophage; Computer science; Immunology; Escherichia coli; Artificial intelligence; Genome","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004756219,0.0005035427,0.0006624363,0.0006436608,0.0002945777,0.0008110018,0.0005857939,0.0005156364,0.006331939],"category_scores_gemma":[0.000398984,0.0003475941,0.0003880012,0.0007333834,0.0001709817,0.0003398102,0.0005560894,0.001411068,0.006660121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000506898,"about_ca_system_score_gemma":0.0002562721,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000360002,"about_ca_topic_score_gemma":0.0004069709,"domain_scores_codex":[0.9994747,0.0001259995,0.00002653511,0.00008802441,0.0002270113,0.00005774252],"domain_scores_gemma":[0.9999336,0.00002030508,0.000005235614,0.000009028956,0.00002104475,0.00001068582],"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":[0.0001360472,0.00007515396,0.0001366178,0.0007907501,0.00003440389,0.0002114203,0.0001150164,0.0002926013,0.8874723,0.005085308,0.009319717,0.09633067],"study_design_scores_gemma":[0.00005828377,0.0003503819,0.0007960967,0.0001202043,0.00005520755,0.001059837,0.00002621889,0.001358059,0.5510026,0.001985736,0.4431559,0.00003154975],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06215614,0.09485285,0.7391016,0.002350488,0.002553948,0.0016154,0.006573617,0.00560743,0.08518846],"genre_scores_gemma":[0.2937794,0.09477565,0.4401447,0.002787201,0.0006173476,0.002943009,0.01340591,0.0008430431,0.1507036],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006331939,"threshold_uncertainty_score":0.02118248,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04003425364022478,"score_gpt":0.4734810811312822,"score_spread":0.4334468274910574,"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."}}