{"id":"W1932285937","doi":"10.1016/j.chembiol.2015.08.008","title":"Exploration of Nonribosomal Peptide Families with an Automated Informatic Search Algorithm","year":2015,"lang":"en","type":"article","venue":"Chemistry & Biology","topic":"Microbial Natural Products and Biosynthesis","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University; University of Waterloo","funders":"Canadian Institutes of Health Research","keywords":"Nonribosomal peptide; In silico; Natural product; Biology; Profiling (computer programming); Computational biology; Peptide; Tandem mass spectrometry; Biotechnology; Combinatorial chemistry; Mass spectrometry; Computer science; Biochemistry; Chemistry; Enzyme; Chromatography; Biosynthesis; Gene","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":[0.0001440746,0.0001071673,0.000230329,0.00002895377,0.00002260508,0.000006006364,0.00007851607,0.0001280455,0.00004602717],"category_scores_gemma":[0.00008681061,0.00006878039,0.0000235064,0.0001323274,0.0001771127,0.0001397101,0.00003074685,0.0001155639,0.00001223788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003020207,"about_ca_system_score_gemma":0.0001428765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005111922,"about_ca_topic_score_gemma":0.000002207228,"domain_scores_codex":[0.9993769,0.00001962888,0.000200861,0.0001534212,0.00008548307,0.0001637052],"domain_scores_gemma":[0.9993289,0.00001478576,0.00006977464,0.0002160932,0.0002612752,0.0001091711],"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":[0.0002196421,0.00008120087,0.000454478,0.0001763847,0.00003999801,0.000005635713,0.0004920091,0.000004875659,0.9856135,0.000004259841,0.0005538686,0.01235411],"study_design_scores_gemma":[0.0006981495,0.0005190447,0.0003017509,0.00005197716,0.00003291446,0.00009921129,0.0014264,0.00240324,0.9925056,0.00001610798,0.001838721,0.0001068951],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979326,0.00007601007,0.0001018115,0.0004004513,0.00002837057,0.0001306883,0.00002190091,0.00011153,0.001196623],"genre_scores_gemma":[0.9931188,0.00002319343,0.005954255,0.00007102015,0.0001359108,0.000001446994,0.0003694198,0.000007818602,0.0003181939],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01224721,"threshold_uncertainty_score":0.2804783,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0345268243827966,"score_gpt":0.2977500462145481,"score_spread":0.2632232218317516,"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."}}