{"id":"W3157930708","doi":"10.1038/s41467-021-22760-6","title":"Population genomics provides insights into the evolution and adaptation to humans of the waterborne pathogen Mycobacterium kansasii","year":2021,"lang":"en","type":"article","venue":"Nature Communications","topic":"Mycobacterium research and diagnosis","field":"Medicine","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill Genome Centre; McGill University Health Centre; McGill University","funders":"Sanming Project of Medicine in Shenzhen; National Health and Medical Research Council; Medical Research Council; National Key Research and Development Program of China; Canadian Institutes of Health Research; National Natural Science Foundation of China; Department of Science and Technology of Sichuan Province; Guangdong Science and Technology Department; Ministry of Science and Technology of the People's Republic of China; National Science and Technology Major Project; Science, Technology and Innovation Commission of Shenzhen Municipality","keywords":"Mycobacterium kansasii; Biology; Adaptation (eye); Population; Genomics; Mycobacterium; Pathogen; Comparative genomics; Human pathogen; Horizontal gene transfer; Microbiology; Genetics; Computational biology; Gene; Bacteria; Genome; Medicine; Environmental health","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":[0.0003676809,0.0001842868,0.0001963889,0.0007715163,0.0002036756,0.0004856553,0.0001236069,0.0003407155,0.0008874226],"category_scores_gemma":[0.0005254701,0.000117219,0.0002177133,0.0006605529,0.0002341827,0.000288139,0.0003134479,0.0003404892,0.0001611944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001880886,"about_ca_system_score_gemma":0.0001550042,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00205099,"about_ca_topic_score_gemma":0.002825493,"domain_scores_codex":[0.9998727,0.00003201971,0.000003832073,0.00004748246,0.00001542571,0.00002856153],"domain_scores_gemma":[0.9998391,0.00005799269,0.00004476924,0.00001765367,0.00001837966,0.0000221466],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004218093,0.0001029657,0.5592649,0.0002472782,0.0004548294,0.0009291092,0.002734379,0.004948243,0.331334,0.003794505,0.000818856,0.09494913],"study_design_scores_gemma":[0.000009242109,0.0001533726,0.9814902,0.00002943125,0.0001298346,0.0007202218,0.0009409871,0.004284256,0.003872515,0.002143709,0.006204373,0.00002187934],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993101,0.0007678777,0.004451444,0.0001131389,0.000004587232,0.000005853701,0.000496034,0.00002374353,0.001036203],"genre_scores_gemma":[0.9973671,0.0004373497,0.001552709,0.00005761218,0.00001064649,0.000003811557,0.0003709808,0.00000989384,0.0001898469],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00205099,"threshold_uncertainty_score":0.00407809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02362015308874616,"score_gpt":0.2931453622902117,"score_spread":0.2695252092014655,"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."}}