{"id":"W2026815028","doi":"10.1371/journal.pone.0002092","title":"Construction and Analysis of High-Complexity Ribosome Display Random Peptide Libraries","year":2008,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Monoclonal and Polyclonal Antibodies Research","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute of Genetics; Institute of Genetics and Developmental Biology, Chinese Academy of Sciences; Chinese Academy of Sciences","keywords":"Ribosome; Computational biology; Peptide; Computer science; Biology; RNA; Genetics; Biochemistry","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":[0.0004018935,0.0002702789,0.0004939126,0.0004107483,0.0001706374,0.0004368321,0.0002613325,0.0002870401,0.0008299323],"category_scores_gemma":[0.0005846079,0.0001545271,0.0003202366,0.0004856451,0.0001740648,0.0002185296,0.0002182219,0.0004562374,0.0005076515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001921659,"about_ca_system_score_gemma":0.0001200474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001308406,"about_ca_topic_score_gemma":0.0001941882,"domain_scores_codex":[0.9995346,0.0001358874,0.00003298212,0.0000568105,0.0001769595,0.00006273865],"domain_scores_gemma":[0.9996434,0.0001617169,0.00005267328,0.00004215409,0.00005736845,0.00004270276],"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":[0.00006263858,0.00003537747,0.0001776435,0.00002956231,0.000006219022,0.00005566443,0.00001917337,0.0004989294,0.996915,0.0001625338,0.00002798166,0.002009255],"study_design_scores_gemma":[0.00002077978,0.0002336876,0.001861224,0.000004911738,0.00001649513,0.000220286,0.00001739744,0.004984357,0.9909235,0.00009990152,0.001608982,0.000008496757],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9217665,0.0004235667,0.07514901,0.00006758794,0.00002062206,0.0001808044,0.0006823622,0.0002571086,0.001452413],"genre_scores_gemma":[0.896089,0.0008419898,0.09639052,0.00009926387,0.00001633647,0.000235253,0.003319565,0.0002301426,0.002777935],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008299323,"threshold_uncertainty_score":0.002776384,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.078877902762648,"score_gpt":0.2707706104561748,"score_spread":0.1918927076935268,"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."}}