{"id":"W2529113939","doi":"10.1038/nchembio.2188","title":"Polyketide and nonribosomal peptide retro-biosynthesis and global gene cluster matching","year":2016,"lang":"en","type":"article","venue":"Nature Chemical Biology","topic":"Microbial Natural Products and Biosynthesis","field":"Medicine","cited_by":137,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Nonribosomal peptide; Gene cluster; Gene; Computational biology; Genome; ENCODE; Cheminformatics; Biology; Pseudogene; Polyketide; Genetics; Biosynthesis; Bioinformatics","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":[0.0001928909,0.0002265885,0.0003929552,0.00003973457,0.00005037142,0.00001316277,0.00009642816,0.0008193033,0.00008732412],"category_scores_gemma":[0.0008103501,0.0001212695,0.00007084628,0.00009594088,0.0003095892,0.00004813739,0.0001790762,0.0003725136,0.00001310416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006496415,"about_ca_system_score_gemma":0.00002340681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000171591,"about_ca_topic_score_gemma":0.000004493291,"domain_scores_codex":[0.9987083,0.00005433155,0.0002184223,0.0005740297,0.00008308297,0.0003618467],"domain_scores_gemma":[0.9992021,0.0002561079,0.00006492074,0.0002227171,0.00006362078,0.0001905494],"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":[0.0003826323,0.00002450027,0.005810109,0.00003508333,0.00004457199,0.00001094556,0.000008662548,7.602801e-10,0.956458,0.0003990457,0.001268261,0.03555821],"study_design_scores_gemma":[0.0009793913,0.00009773904,0.005811664,0.0001237957,0.00009050357,0.0007007287,0.000008203765,0.000001320784,0.9771584,0.001502784,0.01328118,0.000244287],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.967846,0.002457158,0.00002518324,0.02858183,0.0001419398,0.0001655673,0.00009212127,0.00005547452,0.0006347375],"genre_scores_gemma":[0.9927616,0.0004309166,0.003120457,0.002924706,0.0005525078,8.48443e-7,0.00001705371,0.0000139894,0.000177942],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03531392,"threshold_uncertainty_score":0.6319218,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005863005872942873,"score_gpt":0.246561549812493,"score_spread":0.2406985439395501,"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."}}