{"id":"W1836167106","doi":"10.1007/978-1-62703-992-5_8","title":"Design and Generation of Synthetic Antibody Libraries for Phage Display","year":2014,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Monoclonal and Polyclonal Antibodies Research","field":"Medicine","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Phage display; Computational biology; Antibody; Synthetic biology; Complementarity determining region; Complementarity (molecular biology); Peptide library; Oligonucleotide; Biology; Computer science; Genetics; Peptide sequence; Monoclonal antibody; 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":[0.001138478,0.00008669731,0.0002841014,0.0001081363,0.00002783703,0.000005421348,0.00005778782,0.00009827683,0.00001731923],"category_scores_gemma":[0.000580358,0.00006441898,0.00004439922,0.00007912937,0.0001977941,0.00001543664,0.00004544411,0.00008045103,6.278584e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004771775,"about_ca_system_score_gemma":0.00002739129,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001141485,"about_ca_topic_score_gemma":5.755263e-7,"domain_scores_codex":[0.9986426,0.0007461011,0.0001920059,0.0002007537,0.00004877027,0.0001697728],"domain_scores_gemma":[0.9990876,0.0006568165,0.00004072802,0.0001320616,0.00003724836,0.00004558853],"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":[0.0001756474,0.00003488707,0.002990618,0.00008963895,0.00002518939,0.000003582649,0.00004891441,0.00001639182,0.9407011,0.02882192,0.00001371731,0.02707841],"study_design_scores_gemma":[0.0006673969,0.0008607743,0.001386459,0.00002932306,0.00002939089,0.00002517727,0.000007076185,0.04201601,0.9369121,0.01415376,0.003824317,0.00008822935],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1285457,0.0008367958,0.869547,0.0005193169,0.00005150017,0.0003032773,0.000003279975,0.000005616825,0.0001875551],"genre_scores_gemma":[0.06864127,0.00008707984,0.9308029,0.0002085697,0.00003789769,0.00003051518,0.00003723648,0.00001045393,0.0001441225],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.06125586,"threshold_uncertainty_score":0.262693,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06873594902610305,"score_gpt":0.4499736395962081,"score_spread":0.381237690570105,"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."}}