{"id":"W4389747911","doi":"10.1007/978-981-99-5114-7_8","title":"Influence of Intestinal Microbiomes on COVID Progression and Its Effects by Immunotherapeutic Modulation","year":2023,"lang":"en","type":"book-chapter","venue":"","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Microbiome; Synbiotics; Biology; Intestinal Microbiome; Immune system; Human microbiome; Gut microbiome; Immunology; Coronavirus disease 2019 (COVID-19); Dysbiosis; Computational biology; Bioinformatics; Medicine; Disease; Probiotic; Genetics; Bacteria; Infectious disease (medical specialty)","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001356236,0.0002698476,0.0002585225,0.0002415221,0.0001332976,0.0006708723,0.0002531576,0.0003976513,0.005646731],"category_scores_gemma":[0.0001048462,0.00009542684,0.0002331267,0.000253216,0.0001471419,0.0003530143,0.0003776194,0.0006781791,0.001206843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003276111,"about_ca_system_score_gemma":0.0001922585,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000306935,"about_ca_topic_score_gemma":0.0008100677,"domain_scores_codex":[0.9999492,0.000009962961,0.000001982083,0.000008154138,0.000019797,0.0000108773],"domain_scores_gemma":[0.9999762,0.000009867111,0.000003365954,0.000001819745,0.000004256406,0.000004539138],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0007879282,0.0002642885,0.0005253914,0.001210828,0.00003383579,0.0005758147,0.0001650286,0.0007623949,0.4026272,0.02474026,0.0157075,0.5525995],"study_design_scores_gemma":[0.00007695425,0.001547,0.009627881,0.0009516861,0.0001237235,0.00300006,0.0003173638,0.002627514,0.2249944,0.01609692,0.7405816,0.00005490449],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.1086358,0.7184265,0.01508371,0.003867932,0.002800551,0.0001038338,0.0007155047,0.0003598544,0.1500064],"genre_scores_gemma":[0.319019,0.4235636,0.01706089,0.002228946,0.00116426,0.0002204317,0.0008044146,0.000152595,0.2357859],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005646731,"threshold_uncertainty_score":0.0188902,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01109992025030635,"score_gpt":0.2793068132958962,"score_spread":0.2682068930455899,"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."}}