{"id":"W4286490093","doi":"10.7717/peerj.13784","title":"FastANI, Mash and Dashing equally differentiate between <i>Klebsiella</i> species","year":2022,"lang":"en","type":"article","venue":"PeerJ","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Klebsiella; Genome; Biology; Ecological niche; Genus; Evolutionary biology; DNA sequencing; Zoology; Ecology; DNA; Genetics; Escherichia coli; Gene; Habitat","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":[0.0001341329,0.0001213072,0.0001423951,0.000021863,0.000268226,0.00003320686,0.0001552609,0.00003137235,0.00004982903],"category_scores_gemma":[0.00002006744,0.0001238857,0.00004689368,0.00004905877,0.00004524542,4.520211e-7,0.0006608834,0.00008541485,0.000002466077],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009008689,"about_ca_system_score_gemma":0.00001926362,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000146125,"about_ca_topic_score_gemma":0.00001740985,"domain_scores_codex":[0.999215,0.00004292589,0.0001335245,0.0002755851,0.0001273294,0.0002055993],"domain_scores_gemma":[0.9996623,0.00001670391,0.00004943488,0.00018932,0.00002993712,0.00005233899],"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":[0.00002739852,0.00003061756,0.139943,0.0000176953,0.0001529901,0.000003671913,0.0003867068,0.00007081697,0.8511953,0.0004014157,0.003814625,0.00395572],"study_design_scores_gemma":[0.0009469817,0.0005670231,0.4482335,0.000004776547,0.00008986017,0.00001814163,0.001186428,0.00003455141,0.05485179,0.0009958058,0.4924938,0.0005774],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937441,0.001875958,0.0002610939,0.0003130164,0.0001543422,0.00009070815,0.00013273,0.000005260662,0.003422745],"genre_scores_gemma":[0.996043,0.0002214768,0.0002143822,0.0001923802,0.0002321888,0.00001655007,0.00007680157,0.00001799561,0.002985227],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7963436,"threshold_uncertainty_score":0.5051914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01693820865321761,"score_gpt":0.2171148807380253,"score_spread":0.2001766720848077,"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."}}