{"id":"W4229051730","doi":"10.1007/s11692-022-09569-x","title":"Eco-Evolutionary Dynamics of the Human-Gut Microbiota Symbiosis in a Changing Nutritional Environment","year":2022,"lang":"en","type":"article","venue":"Evolutionary Biology","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Symbiosis; Biology; Harmony (color); Gut microbiome; Dysbiosis; Adaptation (eye); Gut flora; Microbiome; Mutualism (biology); Evolutionary dynamics; Ecology; Evolutionary biology; Genetics; Sociology; Immunology; Bacteria; Neuroscience","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":[],"consensus_categories":[],"category_scores_codex":[0.0002129907,0.0001491839,0.0001699062,0.0002030393,0.00043834,0.00000193577,0.0003485455,0.0001417098,0.0003366002],"category_scores_gemma":[0.0000111384,0.000143845,0.0001415486,0.0002559092,0.0002469335,0.000003161758,0.0007082463,0.0002250238,0.000007046824],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003279775,"about_ca_system_score_gemma":0.0001512353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005998703,"about_ca_topic_score_gemma":0.00002673639,"domain_scores_codex":[0.9985586,0.000267653,0.000326998,0.0003861636,0.00009012215,0.0003704345],"domain_scores_gemma":[0.9994495,0.000017158,0.0001426368,0.0003302856,0.00002374452,0.00003669862],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0000491307,0.0004018269,0.1334343,0.00002303427,0.00003194236,0.000001246403,0.00004229791,0.0002569628,0.8546969,0.007383428,0.003629714,0.0000491283],"study_design_scores_gemma":[0.001774388,0.000721718,0.9158171,0.00003208023,0.00002627526,0.0002759146,0.000542968,0.0005750309,0.003078775,0.003160395,0.07349831,0.0004970297],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937191,0.002359267,0.0001186266,0.001818345,0.0002976093,0.0003454869,0.001035166,0.000007910385,0.0002984631],"genre_scores_gemma":[0.9960977,0.0001152759,0.0004165761,0.0003955122,0.0001127044,0.00008608932,0.002057038,0.00001552509,0.0007035651],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8516182,"threshold_uncertainty_score":0.5865831,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006838409201854989,"score_gpt":0.2265925432836223,"score_spread":0.2197541340817673,"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."}}