{"id":"W2397958656","doi":"10.1186/s12862-016-0685-1","title":"Evolution of a global regulator: Lrp in four orders of γ-Proteobacteria","year":2016,"lang":"en","type":"article","venue":"BMC Evolutionary Biology","topic":"Bacterial Genetics and Biotechnology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"College of Medicine and Life Sciences, University of Toledo; College of Graduate Studies, University of Toledo; University of Toledo; McMaster University","keywords":"Biology; Regulator; Genetics; Proteobacteria; Gene; Phylogenetic tree; Archaea; Regulatory sequence; Phylogenetics; Phylum; Computational biology; Evolutionary biology; Regulation of gene expression; 16S ribosomal RNA","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004336191,0.0004572976,0.0003535002,0.001315425,0.0005308968,0.0008304422,0.0003290027,0.0004736802,0.0009618367],"category_scores_gemma":[0.0007271529,0.0002083063,0.0002871846,0.001056566,0.0005012094,0.0004135851,0.0006477855,0.0004513158,0.0004191677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000632481,"about_ca_system_score_gemma":0.0004749401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001958625,"about_ca_topic_score_gemma":0.001715786,"domain_scores_codex":[0.9996755,0.0000373473,0.00001984352,0.0001276293,0.00007935401,0.00006021157],"domain_scores_gemma":[0.9991799,0.0001703563,0.0002438004,0.00005905824,0.0002094979,0.0001373347],"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":[0.0008985352,0.0001002508,0.2710861,0.000409842,0.00009864644,0.00030917,0.001110389,0.0006425061,0.7034974,0.0004933305,0.0001739636,0.02117985],"study_design_scores_gemma":[0.00002363087,0.0004490696,0.9715001,0.00005962085,0.0001279234,0.0007644522,0.001356661,0.001769002,0.01929022,0.000420086,0.004209616,0.00002960557],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965454,0.0007426463,0.001036354,0.0000500654,0.000005830832,0.0000202833,0.0004149046,0.00004631957,0.001138275],"genre_scores_gemma":[0.996099,0.0003733275,0.001808493,0.00006872902,0.000008349727,0.00002701058,0.001036152,0.00002678556,0.0005521075],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001958625,"threshold_uncertainty_score":0.004588962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008877482452021773,"score_gpt":0.2321422225601462,"score_spread":0.2232647401081244,"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."}}