{"id":"W3108803531","doi":"10.3389/fgene.2020.600116","title":"The Integration of Genome Mining, Comparative Genomics, and Functional Genetics for Biosynthetic Gene Cluster Identification","year":2020,"lang":"en","type":"article","venue":"Frontiers in Genetics","topic":"Microbial Natural Products and Biosynthesis","field":"Medicine","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Genome; Biology; Gene cluster; Comparative genomics; Gene; Genomics; Genetics; Functional genomics; Computational biology; Antibiotic resistance; Antibiotics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001407814,0.0008860392,0.001290718,0.002210115,0.0004008598,0.0009228873,0.0008153936,0.0006178151,0.0005945434],"category_scores_gemma":[0.001453112,0.0004931622,0.001042337,0.002164659,0.0003918503,0.00082111,0.00110184,0.000961027,0.0003115622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004510513,"about_ca_system_score_gemma":0.0009828873,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001344528,"about_ca_topic_score_gemma":0.002530472,"domain_scores_codex":[0.9990845,0.0002798329,0.00006451963,0.0002357852,0.0002521523,0.00008323757],"domain_scores_gemma":[0.9992716,0.0003162085,0.0001200826,0.0001071898,0.0001191429,0.00006580838],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004854848,0.0003639992,0.006828459,0.0006815339,0.0002720999,0.0002902041,0.0001886378,0.004118469,0.8892285,0.001134902,0.0003666077,0.09604106],"study_design_scores_gemma":[0.0002795121,0.002529876,0.1211211,0.0002485636,0.001250369,0.00450691,0.001281724,0.1800032,0.6445194,0.0135955,0.0303432,0.0003207144],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5413508,0.00428202,0.4449676,0.0009355762,0.00008750227,0.0004367435,0.0030922,0.002234613,0.002612866],"genre_scores_gemma":[0.450778,0.00203845,0.5391487,0.0002686968,0.00004505555,0.0001941754,0.00666468,0.0002736604,0.0005883958],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.002210115,"threshold_uncertainty_score":0.007445335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03990161863219789,"score_gpt":0.2585687899360942,"score_spread":0.2186671713038963,"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."}}