{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008755631,0.0001742624,0.0008894383,0.0001702988,0.000137471,0.000005717592,0.0001326175,0.0001141894,0.00004742876],"category_scores_gemma":[0.00005567652,0.0001298268,0.0002023736,0.0001271799,0.0002506967,0.00004987235,0.000595432,0.000172248,0.000004476365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001038749,"about_ca_system_score_gemma":0.00007297812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001563368,"about_ca_topic_score_gemma":0.000001462692,"domain_scores_codex":[0.9990766,0.00004919636,0.000328089,0.000205727,0.0001935647,0.0001467901],"domain_scores_gemma":[0.999342,0.00009016896,0.0002312138,0.0001886082,0.00006836169,0.00007966634],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005563992,0.0003270386,0.01189794,0.2416723,0.00145359,0.0001367562,0.003026074,2.271066e-7,0.001790438,0.01033038,0.0002327324,0.7285761],"study_design_scores_gemma":[0.002153871,0.001261128,0.1130752,0.08751576,0.005481325,0.0005137121,0.0005243972,0.00002375197,0.01608127,0.001686801,0.770186,0.001496736],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.04136509,0.9572819,0.00002787091,0.00001515561,0.00001749077,0.0002690651,0.00005575498,0.00001179652,0.0009558488],"genre_scores_gemma":[0.01081065,0.9876739,0.0007107975,0.000004464852,0.00003413024,0.000006963364,0.00006567541,0.00001720967,0.0006761738],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.7699533,"threshold_uncertainty_score":0.5294182,"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."}}