{"id":"W1947732437","doi":"10.1002/pro.2799","title":"Selection of recombinant anti‐<scp>SH</scp>3 domain antibodies by high‐throughput phage display","year":2015,"lang":"en","type":"article","venue":"Protein Science","topic":"Monoclonal and Polyclonal Antibodies Research","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; Mount Sinai Hospital; University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Phage display; Peptide library; Antigen; Computational biology; Recombinant DNA; Antibody; Monoclonal antibody; Biology; High-throughput screening; Proteome; Immunoprecipitation; Molecular biology; Gene; Genetics; Peptide sequence","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001586918,0.0001965841,0.0003978249,0.0002145602,0.0002693192,0.00005712144,0.0003847298,0.00007515241,0.00003415697],"category_scores_gemma":[0.000755187,0.0001411482,0.00007665969,0.001183443,0.001217578,0.0003856155,0.0002167799,0.0002678261,0.00008840503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001096711,"about_ca_system_score_gemma":0.0005012426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000681728,"about_ca_topic_score_gemma":0.00001218906,"domain_scores_codex":[0.9969905,0.00008118735,0.0003666923,0.00052175,0.001390509,0.0006493694],"domain_scores_gemma":[0.9985832,0.00008492513,0.0001568275,0.0002860568,0.0004987916,0.0003902122],"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":[0.0000899636,0.0003777153,0.04041891,0.0001956562,0.00002533992,0.00003368479,0.0006020487,0.000003049133,0.9424335,0.003912426,0.008451255,0.003456481],"study_design_scores_gemma":[0.001272379,0.00125736,0.02406802,0.0002496183,0.0000186098,0.0001225873,0.0003348339,0.0006948322,0.9351019,0.003052194,0.03369451,0.0001331951],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992287,0.000584924,0.0005093995,0.001066914,0.0002817627,0.0007240565,0.00001776648,0.00004881702,0.004479356],"genre_scores_gemma":[0.9844414,0.0001062421,0.006132755,0.00008447052,0.00009769302,0.00003669176,0.00001362224,0.00001553401,0.009071618],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02524325,"threshold_uncertainty_score":0.5755855,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02827770928139051,"score_gpt":0.3224830007877043,"score_spread":0.2942052915063137,"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."}}