{"id":"W2495055679","doi":"10.1186/s40168-016-0189-7","title":"Cardiorespiratory fitness as a predictor of intestinal microbial diversity and distinct metagenomic functions","year":2016,"lang":"en","type":"article","venue":"Microbiome","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":467,"is_retracted":false,"has_abstract":true,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Dairy Farmers of Canada; Michael Smith Health Research BC; Universities Space Research Association; Canadian Diabetes Association","keywords":"Metagenomics; Biology; Cardiorespiratory fitness; Microbial ecology; Ecology; Diversity (politics); Bacteria; Genetics; Physiology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001537329,0.0001540524,0.0002014343,0.00007346223,0.0002496289,0.000007527947,0.0001614843,0.0001170882,0.00006334284],"category_scores_gemma":[0.00004059285,0.000119323,0.00009965758,0.00007296293,0.0002912713,0.000005304039,0.0006678733,0.00005197655,0.00002941781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003190866,"about_ca_system_score_gemma":0.0001015141,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001183688,"about_ca_topic_score_gemma":0.00004870797,"domain_scores_codex":[0.9991158,0.00005757729,0.0002019353,0.0003453609,0.00004455486,0.0002348311],"domain_scores_gemma":[0.9994364,0.00001510886,0.00009672201,0.0002662965,0.00008552834,0.00009991915],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001027319,0.00004615441,0.04074552,0.00004266307,0.00006575112,0.000002630749,0.00006483967,1.393367e-7,0.9560102,0.000009078825,0.002253022,0.0006573179],"study_design_scores_gemma":[0.00253641,0.0007892391,0.2925085,0.00009338632,0.0001525263,0.0002569839,0.00006203423,3.749145e-7,0.6295912,0.00002538752,0.07355542,0.0004284756],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977298,0.0005131424,0.0007731786,0.00009298349,0.0001904994,0.0001588,0.0004125531,0.00001358441,0.0001154399],"genre_scores_gemma":[0.9983277,0.00003764342,0.000169645,0.0001027182,0.0001275986,0.000003861338,0.00005189114,0.00001555903,0.001163374],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3264189,"threshold_uncertainty_score":0.4865852,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01189827477255152,"score_gpt":0.2240638994494966,"score_spread":0.2121656246769451,"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."}}