{"id":"W4380758585","doi":"10.1016/j.chom.2023.05.020","title":"Gut microbiota, malnutrition, and immunity: COVID-19’s confounding triad","year":2023,"lang":"en","type":"article","venue":"Cell Host & Microbe","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre; University of British Columbia","funders":"Canadian Institutes of Health Research; Canadian Institute for Advanced Research","keywords":"Biology; Immunity; Malnutrition; Disease; Confounding; Coronavirus disease 2019 (COVID-19); Immunology; Gut flora; Coronavirus; Immune system; Infectious disease (medical specialty); Medicine; Internal 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":[0.005733676,0.0005327868,0.0009061439,0.001156185,0.001165402,0.002672781,0.000536731,0.001420235,0.004813157],"category_scores_gemma":[0.007703309,0.0002626702,0.0005319263,0.001614981,0.00221242,0.002291418,0.003731121,0.00375515,0.000736517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008944955,"about_ca_system_score_gemma":0.001851306,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002720814,"about_ca_topic_score_gemma":0.006161988,"domain_scores_codex":[0.9980642,0.0007292705,0.0001504666,0.0003201975,0.0005131133,0.0002226197],"domain_scores_gemma":[0.9954691,0.001891779,0.0006741178,0.0005297643,0.0006861776,0.0007490579],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.004837461,0.0003361438,0.3776187,0.001470173,0.001254655,0.002697458,0.00155622,0.0009358098,0.01948884,0.1418966,0.08287568,0.3650322],"study_design_scores_gemma":[0.0002164789,0.0008541064,0.377451,0.002648884,0.0006912505,0.007050076,0.003796597,0.00202809,0.007064051,0.1704237,0.4274808,0.000295046],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"review","genre_scores_codex":[0.2948589,0.3073954,0.01315635,0.3247286,0.01231293,0.00007975232,0.003695284,0.0002526545,0.04352015],"genre_scores_gemma":[0.8163388,0.1109222,0.01017502,0.04382369,0.008899333,0.00009837791,0.001886668,0.0001954518,0.007660449],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.005733676,"threshold_uncertainty_score":0.03032291,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01920259569185532,"score_gpt":0.3013643333175138,"score_spread":0.2821617376256584,"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."}}