{"id":"W4386307051","doi":"10.1002/9781119862611.ch4","title":"Factors Affecting the Diversity and Density of the Microbiomes","year":2023,"lang":"en","type":"other","venue":"","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Microbiome; Biology; Host (biology); Diversity (politics); Immune system; Function (biology); Disease; Human microbiome; Evolutionary biology; Immunology; Ecology; Genetics; Medicine; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005240439,0.0002811125,0.0003425414,0.0008698007,0.0004814188,0.001333096,0.0002038367,0.0003383137,0.006855264],"category_scores_gemma":[0.002152943,0.0001226787,0.0002705408,0.0008917141,0.0004291923,0.0005271384,0.0005154049,0.0003191406,0.001008194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004600394,"about_ca_system_score_gemma":0.0004126608,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004430916,"about_ca_topic_score_gemma":0.005082542,"domain_scores_codex":[0.9994047,0.0001265897,0.00004431829,0.0001341005,0.0001759025,0.0001144397],"domain_scores_gemma":[0.9990003,0.000239129,0.0003136153,0.00005250352,0.0001963256,0.0001981335],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009368429,0.0002970843,0.8083569,0.0006762652,0.0002619038,0.001553495,0.0007548253,0.0006557473,0.09402936,0.002014721,0.002865023,0.08759781],"study_design_scores_gemma":[0.000005769465,0.0001323856,0.9800522,0.00006328917,0.00004077555,0.001507205,0.0009444476,0.0002802619,0.005503965,0.0008459376,0.01060158,0.00002205556],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9568597,0.008556641,0.002726106,0.0007539376,0.0001210134,0.0000885902,0.001808642,0.00006658338,0.02901885],"genre_scores_gemma":[0.9866519,0.002554916,0.001831117,0.0001846139,0.00006007085,0.00004037411,0.0007855163,0.00003023382,0.00786119],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006855264,"threshold_uncertainty_score":0.02293307,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01822895411682533,"score_gpt":0.2391240489850392,"score_spread":0.2208950948682138,"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."}}