{"id":"W2124551984","doi":"10.3390/molecules16021776","title":"Diversity of Phage-Displayed Libraries of Peptides during Panning and Amplification","year":2011,"lang":"en","type":"review","venue":"Molecules","topic":"Monoclonal and Polyclonal Antibodies Research","field":"Medicine","cited_by":202,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"University of Electronic Science and Technology of China; University of Alberta; Wayne State University","keywords":"Panning (audio); Phage display; Peptide library; Biology; Computational biology; Identification (biology); Phagemid; Selection (genetic algorithm); Genetics; Bacteriophage; Computer science; Antibody; Peptide sequence; Gene; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001014395,0.0006675518,0.000870825,0.0008776133,0.0001965328,0.000988184,0.0005994399,0.000420118,0.0007912755],"category_scores_gemma":[0.0007155242,0.0003699933,0.0004686179,0.0009166162,0.0003409006,0.0009060114,0.0004725195,0.001036851,0.0008094712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004330313,"about_ca_system_score_gemma":0.0003494391,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001763008,"about_ca_topic_score_gemma":0.0002569937,"domain_scores_codex":[0.9990693,0.0001697418,0.00007207742,0.0001825117,0.0004090694,0.00009731569],"domain_scores_gemma":[0.9997254,0.0001219754,0.00004542314,0.00001910503,0.0000743231,0.00001377623],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009234479,0.00003153123,0.0002822543,0.003547912,0.00006529518,0.0003202755,0.0001568841,0.001074774,0.8690742,0.002267378,0.000902706,0.1221846],"study_design_scores_gemma":[0.00001694522,0.0002734309,0.001410032,0.0002486878,0.0001087858,0.001344726,0.00006007139,0.001462434,0.9220497,0.0009003094,0.07208291,0.00004200031],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.2503265,0.4264021,0.2863697,0.000951811,0.0006385006,0.0007078309,0.0009767922,0.00222999,0.03139676],"genre_scores_gemma":[0.5111602,0.3258713,0.1383353,0.001249189,0.0002596057,0.001002582,0.001876611,0.0004816389,0.01976353],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.001014395,"threshold_uncertainty_score":0.005364716,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1002385304454517,"score_gpt":0.342464162301312,"score_spread":0.2422256318558603,"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."}}