{"id":"W2970842946","doi":"10.1371/journal.pone.0221397","title":"Distinction between Borrelia and Borreliella is more robustly supported by molecular and phenotypic characteristics than all other neighbouring prokaryotic genera: Response to Margos' et al. \"The genus Borrelia reloaded\" (PLoS ONE 13(12): e0208432)","year":2019,"lang":"en","type":"letter","venue":"PLoS ONE","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":68,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Borrelia; Biology; Genus; Zoology; Phylogenetic tree; Evolutionary biology; Borrelia burgdorferi; Genetics; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003900031,0.0008219269,0.0009222208,0.00012398,0.0002146098,0.0001656335,0.0004578077,0.0007754571,0.00002759295],"category_scores_gemma":[0.0002019669,0.0007655677,0.0001449154,0.0001103608,0.0001951731,0.000004696204,0.0005737856,0.0009270539,0.00002833221],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005294432,"about_ca_system_score_gemma":0.0001248742,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001272831,"about_ca_topic_score_gemma":0.00001081356,"domain_scores_codex":[0.9962479,0.0003218796,0.0006694719,0.001373161,0.0005910873,0.000796452],"domain_scores_gemma":[0.9979227,0.0001269861,0.0004196366,0.001119388,0.0002176016,0.0001937226],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006105655,0.0003177504,0.01903352,0.0004199985,0.002666521,0.00003663675,0.0004199621,0.00000598386,0.7478585,0.000001123673,0.228247,0.0003824695],"study_design_scores_gemma":[0.002676858,0.002465321,0.1392003,0.0009185702,0.004293936,0.00003866056,0.00006933232,0.000312472,0.1979347,0.0000514129,0.6487445,0.003294023],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.837754,0.003154687,0.0001597816,0.1558758,0.0001501514,0.001413099,0.001387605,0.00002094244,0.00008401387],"genre_scores_gemma":[0.5412078,0.003625622,0.001769437,0.4432866,0.002093931,0.000322841,0.00244374,0.000496824,0.004753198],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5499238,"threshold_uncertainty_score":0.9994795,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02327712966426376,"score_gpt":0.2204278614540309,"score_spread":0.1971507317897672,"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."}}