{"id":"W4385266438","doi":"10.1146/annurev-anthro-052721-085122","title":"Gut Microbial Intersections with Human Ecology and Evolution","year":2023,"lang":"en","type":"article","venue":"Annual Review of Anthropology","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institute for Advanced Research","keywords":"Microbiome; Ecology; Human microbiome; Biology; Adaptation (eye); Niche; Evolutionary ecology; Human Microbiome Project; Host (biology); Niche construction; Ecological niche; Human evolution; Evolutionary biology; Habitat; Bioinformatics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001593702,0.00009946469,0.0002353576,0.00006549176,0.0001220905,0.000001806857,0.00007917856,0.0001093801,0.00007514524],"category_scores_gemma":[0.00003818726,0.0000832403,0.00004554465,0.0001385656,0.0006055632,0.000003184883,0.00009087106,0.00007495692,0.0000214746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001166085,"about_ca_system_score_gemma":0.00007834366,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001574095,"about_ca_topic_score_gemma":0.0007485651,"domain_scores_codex":[0.999222,0.00008669717,0.0002149257,0.0002344004,0.00003092855,0.0002110038],"domain_scores_gemma":[0.9995692,0.000009598981,0.00009801905,0.0001715592,0.0001075168,0.00004410478],"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":[0.0000700055,0.0001165802,0.01297259,0.002735402,0.0001194139,0.00001097717,0.0002165331,0.000001156569,0.8925623,0.00224029,0.08746577,0.001489026],"study_design_scores_gemma":[0.002434736,0.01189312,0.4598549,0.002598965,0.000293046,0.001298192,0.003824017,0.000003828734,0.01581632,0.000314936,0.5008007,0.0008672478],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9852412,0.01089774,0.0001256638,0.002572449,0.0002325033,0.000276796,0.00007858521,0.00002042338,0.0005546286],"genre_scores_gemma":[0.9620827,0.0365475,0.00007531837,0.0007037037,0.00008897357,0.000009681105,0.0001692269,0.00001165879,0.0003112167],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8767459,"threshold_uncertainty_score":0.3394441,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008685490481025907,"score_gpt":0.3239873913840295,"score_spread":0.3153019009030036,"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."}}