{"id":"W2050102340","doi":"10.1016/j.peptides.2009.06.035","title":"Codon number shapes peptide redundancy in the universal proteome composition","year":2009,"lang":"en","type":"article","venue":"Peptides","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Pentapeptide repeat; Proteome; Computational biology; Biology; Chemistry; Peptide; Biochemistry","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002175048,0.0001133005,0.00008712857,0.00002657094,0.00008078422,0.00004231041,0.0002243208,0.00007706602,0.00002978289],"category_scores_gemma":[0.00004502391,0.00008794859,0.00004988002,0.00009143716,0.00005084056,0.000008688571,0.00003178101,0.0001507259,0.00004994447],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001532842,"about_ca_system_score_gemma":0.00002221246,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002625942,"about_ca_topic_score_gemma":0.00002346337,"domain_scores_codex":[0.9993075,0.00007899589,0.0001654086,0.0001385601,0.000129464,0.0001800345],"domain_scores_gemma":[0.9996718,0.00001432321,0.00007112959,0.0001850892,0.00003080917,0.00002688665],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0005844762,0.0007065728,0.07502314,0.0001731951,0.00008841592,0.00005896655,0.006111938,0.004098634,0.8480639,0.009049754,0.03976758,0.01627343],"study_design_scores_gemma":[0.003680683,0.002238894,0.6820491,0.0003505456,0.00007840109,0.0004449393,0.002644684,0.00832591,0.07333592,0.00368521,0.221516,0.001649721],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9656098,0.00004129238,0.000608549,0.001127261,0.00003130553,0.0002543706,0.000005144052,0.00002093613,0.03230126],"genre_scores_gemma":[0.9952144,0.00002813904,0.003248022,0.0008054955,0.0001319621,0.00000765077,0.00009125155,0.000007618682,0.0004654764],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.774728,"threshold_uncertainty_score":0.3586439,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006952101625538771,"score_gpt":0.2576027418371968,"score_spread":0.2506506402116581,"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."}}