{"id":"W2917714207","doi":"10.1038/s41385-019-0147-3","title":"Intestinal dysbiosis compromises alveolar macrophage immunity to Mycobacterium tuberculosis","year":2019,"lang":"en","type":"article","venue":"Mucosal Immunology","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":86,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; McGill University Health Centre","funders":"Canadian Institutes of Health Research; McMaster University; Fonds de Recherche du Québec - Santé; Kenneth Rainin Foundation; McGill University","keywords":"Rifampicin; Tuberculosis; Pyrazinamide; Isoniazid; Mycobacterium tuberculosis; Immunology; Dysbiosis; Immunity; Medicine; Macrophage; Antibiotics; Mycobacterium; Microbiology; Immune system; Alveolar macrophage; Biology; Gut flora; Pathology","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001908791,0.0002693557,0.0003183934,0.0001017426,0.0001343948,0.00003457165,0.0004407237,0.0002904593,0.0004211205],"category_scores_gemma":[0.0000790296,0.0002686119,0.0001309909,0.0001601231,0.0001080008,0.000006815355,0.0005049502,0.0003004769,0.00118391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005113516,"about_ca_system_score_gemma":0.0001069303,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002939808,"about_ca_topic_score_gemma":0.00006515459,"domain_scores_codex":[0.9983622,0.0001755086,0.0003159588,0.0004940013,0.00007415791,0.0005781833],"domain_scores_gemma":[0.9988971,0.0000246329,0.00008605213,0.0007303294,0.0001360247,0.0001258469],"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":[0.0002681083,0.000123913,0.01596437,0.00004143585,0.0001067561,0.000004593697,0.00007477486,0.000003008204,0.9808769,0.0000654152,0.001324999,0.001145737],"study_design_scores_gemma":[0.001080358,0.001596499,0.3233523,0.00003702203,0.00003188413,0.0001802084,0.0001396534,0.000007273888,0.6010253,0.00002141163,0.07206497,0.0004630401],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956147,0.001089634,0.0001329966,0.0007078245,0.0007174591,0.0004040404,0.00004605036,0.00004499766,0.001242264],"genre_scores_gemma":[0.995462,0.0001878762,0.001262935,0.001579022,0.0001218243,0.00002797826,0.0002753723,0.00004209607,0.001040869],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3798515,"threshold_uncertainty_score":0.9999766,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007105494534229765,"score_gpt":0.2440908416657284,"score_spread":0.2369853471314986,"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."}}