{"id":"W2113657329","doi":"10.1093/gbe/evv035","title":"Insights on the Emergence of Mycobacterium tuberculosis from the Analysis of Mycobacterium kansasii","year":2015,"lang":"en","type":"article","venue":"Genome Biology and Evolution","topic":"Mycobacterium research and diagnosis","field":"Medicine","cited_by":90,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique; McGill University and Génome Québec Innovation Centre; Armand Frappier Museum; McGill University Health Centre; McGill University","funders":"Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research; Agence Nationale de la Recherche","keywords":"Mycobacterium kansasii; Biology; Mycobacterium tuberculosis; Pathogen; Virulence; Microbiology; Tuberculosis; Genetics; Mycobacterium; Plasmid; Genome; Human pathogen; Virology; Gene; Bacteria; Medicine","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":[0.0002702897,0.0002166733,0.000232695,0.0005770859,0.0003199284,0.0005857697,0.0002369549,0.0005248451,0.0004042415],"category_scores_gemma":[0.0005633337,0.0002617413,0.0001590614,0.0004303191,0.0002562873,0.000425299,0.000343446,0.0007326021,0.0003096868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005135657,"about_ca_system_score_gemma":0.0002255793,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00300747,"about_ca_topic_score_gemma":0.004541405,"domain_scores_codex":[0.9998519,0.00002747954,0.00001245283,0.00003558518,0.00003241676,0.00004012061],"domain_scores_gemma":[0.9997296,0.00005587378,0.00006834669,0.00002601928,0.00005967903,0.00006049145],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002766456,0.00006625181,0.08470552,0.0003958868,0.0000242659,0.001347795,0.001226542,0.0002725159,0.8857548,0.001038608,0.0004576189,0.02443359],"study_design_scores_gemma":[0.00001899381,0.0003976406,0.8505222,0.0002190215,0.000111615,0.002959013,0.002329453,0.002171087,0.102389,0.001369507,0.03746452,0.00004802128],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9847565,0.007303729,0.003799644,0.0007217309,0.00003129936,0.0000187269,0.0005768596,0.0000799835,0.002711564],"genre_scores_gemma":[0.9900655,0.003429002,0.004498449,0.0002626617,0.00003066553,0.000007705251,0.0005997775,0.00001881748,0.001087531],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00300747,"threshold_uncertainty_score":0.005979955,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03235777735659175,"score_gpt":0.2845780220117202,"score_spread":0.2522202446551285,"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."}}