{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003435132,0.00120661,0.001136941,0.002255334,0.0008891289,0.002541667,0.0006114749,0.0009756953,0.002432385],"category_scores_gemma":[0.009181492,0.000412234,0.001514109,0.001973639,0.0006359981,0.00185902,0.001373878,0.0009824318,0.002338267],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005166191,"about_ca_system_score_gemma":0.0005833012,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001942855,"about_ca_topic_score_gemma":0.003024709,"domain_scores_codex":[0.99752,0.0005747769,0.0003095134,0.0006698961,0.0006270742,0.0002986781],"domain_scores_gemma":[0.9931023,0.002459864,0.001420761,0.0008332281,0.001687914,0.000495842],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.006733158,0.0005975738,0.3554859,0.002425319,0.001244179,0.0003245676,0.001376322,0.008725493,0.330083,0.001570362,0.006007248,0.285427],"study_design_scores_gemma":[0.0002093345,0.004200935,0.6131577,0.0004926505,0.001096318,0.001956423,0.002287373,0.08307678,0.2426558,0.005197314,0.04519834,0.0004709739],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9408923,0.003585374,0.03961227,0.0003774968,0.0002261189,0.0002215649,0.006627716,0.001930658,0.006526431],"genre_scores_gemma":[0.8635317,0.0008078791,0.1141664,0.0003469547,0.00006538076,0.0002081459,0.01751128,0.0005061456,0.002856086],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003435132,"threshold_uncertainty_score":0.01816696,"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."}}