{"id":"W4403544456","doi":"10.1186/s40168-024-01940-8","title":"Upper respiratory microbial communities of healthy populations are shaped by niche and age","year":2024,"lang":"en","type":"article","venue":"Microbiome","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Population Health Research Institute; McMaster University","funders":"National Center for Advancing Translational Sciences; National Institute of Allergy and Infectious Diseases; National Institutes of Health; Jarislowsky Foundation; University of Minnesota; Oklahoma State University","keywords":"Biology; Medical microbiology; Microbial ecology; Niche; Respiratory system; Ecology; Zoology; Microbiology; Bacteria; Genetics","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":[0.0004212166,0.000302661,0.0004003463,0.000606362,0.0004948633,0.0005654222,0.0002568629,0.0004916293,0.004400861],"category_scores_gemma":[0.001044504,0.0001557067,0.00035291,0.0005868037,0.0002852168,0.0004749713,0.0006469215,0.0004284263,0.0008866244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00029593,"about_ca_system_score_gemma":0.0003541094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005305892,"about_ca_topic_score_gemma":0.007819102,"domain_scores_codex":[0.9996963,0.00004919707,0.00001110042,0.00007975351,0.00009112498,0.00007251432],"domain_scores_gemma":[0.9996394,0.00006394373,0.0001194303,0.00002364292,0.00009560262,0.00005809131],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00128569,0.00008744447,0.4975457,0.0008586854,0.0002537159,0.000902834,0.00189644,0.0006198882,0.3215172,0.0008105944,0.01446081,0.159761],"study_design_scores_gemma":[0.000009420527,0.0002939889,0.9713829,0.0001546085,0.00007853378,0.0009577617,0.001326159,0.0008385121,0.01103023,0.000770751,0.01312018,0.00003709206],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9601383,0.006866308,0.008425113,0.0008483081,0.0001842735,0.00009933444,0.01660934,0.0001974126,0.006631678],"genre_scores_gemma":[0.9730685,0.004609065,0.01007149,0.0007484948,0.0001107905,0.0001782446,0.007940665,0.00007643946,0.003196265],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005305892,"threshold_uncertainty_score":0.01472229,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03131759480993033,"score_gpt":0.3022707018505779,"score_spread":0.2709531070406476,"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."}}