{"id":"W2078785469","doi":"10.1016/j.tim.2014.02.006","title":"Ordering microbial diversity into ecologically and genetically cohesive units","year":2014,"lang":"en","type":"review","venue":"Trends in Microbiology","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":210,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"National Institute of Environmental Health Sciences; Scheme for Promotion of Academic and Research Collaboration; Canada Research Chairs; Natural Sciences and Engineering Research Council of Canada; Broad Institute; Gordon and Betty Moore Foundation; National Science Foundation","keywords":"Biology; Gene flow; Selection (genetic algorithm); Evolutionary biology; Genetic diversity; Genome; Genomics; Gene; Ecological genetics; Ecology; Natural selection; Genetics; Genetic variation; Population","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":[0.0005289251,0.0009486169,0.001154285,0.00161538,0.0002394852,0.001821468,0.0008792576,0.001296539,0.002367698],"category_scores_gemma":[0.0008427411,0.0003056297,0.0002461066,0.002553448,0.001358362,0.002303639,0.001098499,0.001600307,0.001242024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008221572,"about_ca_system_score_gemma":0.001228077,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001165124,"about_ca_topic_score_gemma":0.002513001,"domain_scores_codex":[0.9998186,0.00002548264,0.00001734189,0.00004493214,0.00007291968,0.00002064639],"domain_scores_gemma":[0.9997242,0.0001090411,0.00005477952,0.0000114414,0.00006639786,0.00003409463],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004267315,0.00002288095,0.0002959506,0.006066518,0.00004095208,0.00008278175,0.00005159032,0.0004325836,0.003764331,0.009714361,0.01416646,0.9653189],"study_design_scores_gemma":[0.00001403426,0.00004927294,0.001426757,0.002072225,0.00007090365,0.0006261568,0.0001223856,0.0002521847,0.001802898,0.01205186,0.9814808,0.00003050462],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002729015,0.996917,0.0007180721,0.0006053218,0.0002734835,0.000003674914,0.00001926105,0.00001307893,0.001177175],"genre_scores_gemma":[0.001598115,0.9963761,0.0006731033,0.0003039973,0.000258862,0.000006034338,0.00002296055,0.000002726345,0.000758083],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002367698,"threshold_uncertainty_score":0.007920742,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02249891219331489,"score_gpt":0.2919987459539954,"score_spread":0.2694998337606805,"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."}}