{"id":"W4367319211","doi":"10.1099/mgen.0.000988","title":"Evolutionary investigations of the biosynthetic diversity in the skin microbiome using lsaBGC","year":2023,"lang":"en","type":"article","venue":"Microbial Genomics","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"National Institute of Allergy and Infectious Diseases; National Institute of General Medical Sciences; National Institutes of Health","keywords":"Horizontal gene transfer; Biology; Metagenomics; Microbiome; Gene; Evolutionary biology; Computational biology; Genetics; Genome; Bacterial genome size; Phylum; Identification (biology); Clade; Phylogenetics; Ecology","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":[0.0001991056,0.0001043923,0.0001001113,0.00005353104,0.0003159246,0.00000965949,0.0004376852,0.00007642806,0.000002433799],"category_scores_gemma":[0.00002887556,0.00007759051,0.0001066065,0.0003046,0.0002643856,6.830068e-7,0.0007722641,0.00006611165,0.000006249171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002882094,"about_ca_system_score_gemma":0.0001097001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001922404,"about_ca_topic_score_gemma":0.0001838602,"domain_scores_codex":[0.9993092,0.00008173369,0.0001780604,0.0001882015,0.00005549601,0.0001873277],"domain_scores_gemma":[0.9995304,0.00001727448,0.00007528174,0.0003189221,0.00004064942,0.00001746686],"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":[0.000007917433,0.00002288155,0.007539643,0.000008085953,0.00002411374,4.401777e-7,0.0006868898,0.00125276,0.9890202,0.00005786747,0.001318539,0.00006063351],"study_design_scores_gemma":[0.0010592,0.0001084444,0.2766248,0.00004134095,0.000118316,0.00006778663,0.001785344,0.0004969685,0.6440085,0.001590556,0.0735432,0.0005555589],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985569,0.0003247185,0.00001526038,0.0004477152,0.0002048735,0.0002121385,0.0001523964,0.000002101541,0.00008388093],"genre_scores_gemma":[0.9989967,0.0001258951,0.0004127463,0.000251966,0.00008731359,0.000002917968,0.00002807127,0.00001057879,0.00008384613],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3450118,"threshold_uncertainty_score":0.3164049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02881578258156842,"score_gpt":0.2290464986182132,"score_spread":0.2002307160366448,"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."}}