{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002233282,0.0002540074,0.0004017739,0.0003722692,0.0003702162,0.0006602083,0.0005240896,0.000359724,0.003733577],"category_scores_gemma":[0.0005122633,0.0001854781,0.0003388319,0.0007016473,0.0002864455,0.0005761363,0.0005786341,0.0004402825,0.001010724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006289684,"about_ca_system_score_gemma":0.0004990487,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001138393,"about_ca_topic_score_gemma":0.001734453,"domain_scores_codex":[0.9997062,0.00003136243,0.00001339802,0.0001163042,0.00005972051,0.00007298892],"domain_scores_gemma":[0.9997547,0.0000499201,0.00005699722,0.00004886002,0.00003562233,0.00005386286],"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":[0.0006896628,0.00007156833,0.005914884,0.00008983582,0.00002289454,0.0001135447,0.00009111192,0.003046798,0.9563468,0.009746231,0.000349315,0.02351737],"study_design_scores_gemma":[0.00006719636,0.0004581548,0.05809972,0.00002197419,0.00007292558,0.0007687268,0.0003512583,0.04549909,0.8636022,0.02143097,0.00957496,0.00005282971],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9528027,0.0008073326,0.0354672,0.0002273628,0.00003812815,0.00007446692,0.001260397,0.0005266024,0.008795703],"genre_scores_gemma":[0.982004,0.0001923715,0.01172515,0.0000632347,0.00001173548,0.00002904728,0.001810912,0.00008327817,0.004080238],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003733577,"threshold_uncertainty_score":0.01249003,"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."}}