{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004216346,0.0002475207,0.0002481929,0.0001522396,0.0004191416,0.00008305472,0.000234764,0.0002742353,0.0001085783],"category_scores_gemma":[0.00007180522,0.0002675486,0.0001022761,0.0002542818,0.0001792137,0.000005897336,0.0002787161,0.0001948088,0.000242256],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005590861,"about_ca_system_score_gemma":0.0002732129,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001656715,"about_ca_topic_score_gemma":0.00006641376,"domain_scores_codex":[0.998489,0.0001139423,0.0003159124,0.0004946823,0.00006004608,0.0005264428],"domain_scores_gemma":[0.9990603,0.00003883259,0.0001129459,0.0004302268,0.00007350797,0.0002841977],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006692459,0.00005157889,0.0006588864,0.0002217884,0.0000212011,0.00001259233,0.0001807068,0.000001359351,0.914023,0.00003388937,0.08460628,0.0001217263],"study_design_scores_gemma":[0.002305389,0.0001793884,0.004984134,0.00003358859,0.00003160823,0.000120382,0.0005061432,0.00000316649,0.2692827,0.00004368701,0.7221149,0.0003949988],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9929402,0.00344422,0.0001764097,0.001484627,0.0003437315,0.0004271082,0.0001880688,0.00007994968,0.0009156348],"genre_scores_gemma":[0.9780998,0.005006867,0.0005753019,0.004442618,0.0003021196,0.00002285066,0.001643243,0.00006710111,0.009840156],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6447404,"threshold_uncertainty_score":0.9999776,"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."}}