{"id":"W4399214522","doi":"10.26685/urncst.556","title":"The Effects of Aging on Gut Microbiome Composition and Association With Age-Related Disease States: A Literature Review","year":2024,"lang":"en","type":"review","venue":"Undergraduate Research in Natural and Clinical Science and Technology (URNCST) Journal","topic":"Diet and metabolism studies","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Association (psychology); Gut microbiome; Disease; Composition (language); Microbiome; Gerontology; Biology; Medicine; Psychology; Bioinformatics; Internal medicine","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":"codex-gemma-dda1882f352a","candidate_categories":["sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.005980113,0.0002507181,0.001137191,0.0008839841,0.0005698755,0.0002298525,0.0002322162,0.0002660956,3.726305e-7],"category_scores_gemma":[0.00212009,0.0001100481,0.0001292642,0.003256762,0.002748037,0.0001305674,0.0002848388,0.004062897,0.000002749316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001817187,"about_ca_system_score_gemma":0.0004435947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002311389,"about_ca_topic_score_gemma":0.000004683392,"domain_scores_codex":[0.9970343,0.0004100052,0.000732628,0.000485567,0.0008011767,0.0005362873],"domain_scores_gemma":[0.9971244,0.001543283,0.0003332691,0.0001807948,0.0005683873,0.0002498812],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.00006630518,0.0001396127,0.0004994303,0.02744899,0.0003919554,0.000974915,0.00003179395,6.88861e-9,0.00003145724,0.002243408,0.002085818,0.9660863],"study_design_scores_gemma":[0.002146629,0.002085175,0.001852529,0.660072,0.002763638,0.001119786,0.00009703292,0.00002888252,0.000006057323,0.02974618,0.2996418,0.0004403179],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.003655317,0.9605204,1.419169e-7,0.0347186,0.0002817933,0.0007628927,0.0000054149,0.00001812154,0.00003729454],"genre_scores_gemma":[0.009523616,0.9898754,0.00002477317,0.0001018912,0.00006535359,0.00001999682,0.000008497191,0.00001137242,0.0003690863],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.965646,"threshold_uncertainty_score":0.9999659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03217207063577982,"score_gpt":0.4318405377601921,"score_spread":0.3996684671244123,"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."}}