{"id":"W2101231992","doi":"10.1038/msb.2011.18","title":"The multiple‐specificity landscape of modular peptide recognition domains","year":2011,"lang":"en","type":"article","venue":"Molecular Systems Biology","topic":"Monoclonal and Polyclonal Antibodies Research","field":"Medicine","cited_by":90,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; Mount Sinai Hospital; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Genomics Institute; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; European Molecular Biology Organization; Heart and Stroke Foundation of Canada; Canadian Cancer Society Research Institute; Canadian Institutes of Health Research; Ontario Genomics; Cystic Fibrosis Foundation; National Science Foundation","keywords":"Biology; Modular design; Computational biology; Peptide; Biochemistry; Computer science","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":[0.0003924931,0.0001233516,0.0002911096,0.0000746033,0.00009831059,0.000006675701,0.0001462926,0.0001295215,0.00005247314],"category_scores_gemma":[0.000135741,0.00007338297,0.0001371821,0.0001197815,0.0002167584,0.00001446147,0.00006387871,0.0001654363,0.00008418957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001591364,"about_ca_system_score_gemma":0.0000409189,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008140378,"about_ca_topic_score_gemma":0.00003652923,"domain_scores_codex":[0.9987504,0.0002414199,0.0003313019,0.000218885,0.0001637221,0.0002942333],"domain_scores_gemma":[0.9991786,0.0001164047,0.0001051523,0.000310689,0.0001915421,0.00009762149],"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":[0.001958404,0.0003476618,0.1587027,0.0003832194,0.0006737634,0.0003581727,0.0005254016,0.000005576338,0.8096159,0.01538475,0.001162445,0.01088194],"study_design_scores_gemma":[0.008010624,0.00622546,0.2976401,0.0007587828,0.0003901555,0.001928828,0.00235848,0.008741893,0.454882,0.006510877,0.2112447,0.001308179],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9790138,0.002585384,0.001628293,0.0001681965,0.0002558628,0.000438354,0.00004471534,0.00002502829,0.01584038],"genre_scores_gemma":[0.9985694,0.0002366389,0.0003094052,0.00005604577,0.0001099178,0.00003883535,0.00007230804,0.00001387788,0.0005935521],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.354734,"threshold_uncertainty_score":0.2992471,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05039812650969312,"score_gpt":0.2822825332092814,"score_spread":0.2318844066995883,"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."}}