{"id":"W2950904866","doi":"10.1080/19490976.2018.1494103","title":"Links between environment, diet, and the hunter-gatherer microbiome","year":2018,"lang":"en","type":"article","venue":"Gut Microbes","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":170,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lawson Health Research Institute; Western University","funders":"National Center for Complementary and Integrative Health; National Institute of Diabetes and Digestive and Kidney Diseases; National Institute of Allergy and Infectious Diseases; National Institutes of Health","keywords":"Biology; Microbiome; Context (archaeology); Ecology; Biodiversity; Zoology; Human microbiome; Metagenomics; Genetics","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":[0.0004168174,0.0002132847,0.000263612,0.0005120045,0.0004035356,0.0008776639,0.0001295209,0.0003078396,0.001214991],"category_scores_gemma":[0.0007711693,0.000135851,0.0001287438,0.0005292267,0.0007072489,0.0003735671,0.0008939216,0.0003213127,0.0001001688],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002084349,"about_ca_system_score_gemma":0.0003311766,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002125736,"about_ca_topic_score_gemma":0.006848002,"domain_scores_codex":[0.99977,0.00009960003,0.000008183695,0.00004008229,0.00003229271,0.00004981039],"domain_scores_gemma":[0.9995058,0.0001451184,0.000160623,0.00004179087,0.00004941084,0.00009722395],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006308553,0.000100654,0.8673711,0.0003594183,0.0002949605,0.0007374748,0.00179003,0.0002215592,0.09544487,0.0007009874,0.0003794389,0.03196859],"study_design_scores_gemma":[0.000001650925,0.0000961144,0.9970443,0.0000244656,0.00003035817,0.0001643634,0.0005842972,0.00004823809,0.0009185919,0.000265848,0.0008155413,0.000006134844],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99221,0.005917384,0.000579075,0.0003450059,0.0000164717,0.000004748294,0.0001214128,0.000006472532,0.000799487],"genre_scores_gemma":[0.9967326,0.002007405,0.0006945303,0.0001111369,0.00001939041,0.000006062198,0.00005955497,0.000003278464,0.0003661705],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002125736,"threshold_uncertainty_score":0.004226744,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007464650998636625,"score_gpt":0.2326769957509976,"score_spread":0.225212344752361,"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."}}