{"id":"W1980762420","doi":"10.3791/50685","title":"A Protocol for Phage Display and Affinity Selection Using Recombinant Protein Baits","year":2014,"lang":"en","type":"article","venue":"Journal of Visualized Experiments","topic":"Viral Infectious Diseases and Gene Expression in Insects","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Division of Integrative Organismal Systems; McMaster University; U.S. Department of Agriculture; National Science Foundation","keywords":"Phage display; Computational biology; Biology; Selection (genetic algorithm); Recombinant DNA; Amplicon; Phagemid; Bacteriophage; Genomic library; False positive paradox; Identification (biology); Genetics; Computer science; Antibody; DNA; Machine learning; Polymerase chain reaction; Base sequence; Escherichia coli; Gene","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":[0.001545552,0.002508857,0.001937913,0.002468491,0.002002447,0.001225368,0.002689201,0.00155873,0.01433182],"category_scores_gemma":[0.001268838,0.002447215,0.001675025,0.002494028,0.0008426941,0.0009293247,0.001213211,0.005535828,0.02118523],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007079783,"about_ca_system_score_gemma":0.001123076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000710254,"about_ca_topic_score_gemma":0.001374296,"domain_scores_codex":[0.9977596,0.0005071062,0.0003473221,0.0003326705,0.0008161968,0.0002371547],"domain_scores_gemma":[0.9993044,0.0001776495,0.00005180818,0.0002283648,0.0001586354,0.00007907499],"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":[0.0002483023,0.0002129968,0.00013294,0.001038376,0.00007027647,0.0006226975,0.0001791824,0.0004196829,0.9633903,0.002835862,0.01004162,0.02080784],"study_design_scores_gemma":[0.0001676607,0.0009281175,0.00251577,0.0002087536,0.0001010404,0.003647215,0.00008062807,0.002828722,0.5704468,0.00263811,0.4162145,0.0002227289],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"protocol","genre_scores_codex":[0.02058545,0.005968124,0.9255552,0.001115529,0.001717796,0.01354365,0.01079573,0.007446306,0.01327224],"genre_scores_gemma":[0.0372677,0.01174009,0.8354089,0.0009335656,0.0003609668,0.03591578,0.03416801,0.001500283,0.04270466],"genre_candidate":"protocol","genre_consensus":null,"teacher_disagreement_score":0.01433182,"threshold_uncertainty_score":0.04794472,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03738791153632095,"score_gpt":0.4482415046210734,"score_spread":0.4108535930847524,"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."}}