{"id":"W4386251754","doi":"10.1139/apnm-2023-0071","title":"Interaction between high-intensity interval training and high-protein diet on gut microbiota composition and body weight in obese male rats","year":2023,"lang":"en","type":"article","venue":"Applied Physiology Nutrition and Metabolism","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"High-intensity interval training; Dysbiosis; Gut flora; Obesity; Internal medicine; Endocrinology; Interval training; Medicine; Weight gain; Animal science; Biology; Body weight; Immunology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001496318,0.0005497995,0.000465163,0.0003737209,0.0002096209,0.000209786,0.0001628184,0.0002870086,0.0009133753],"category_scores_gemma":[0.0001315605,0.0002265654,0.0004303948,0.0001697208,0.0002976808,0.0002546583,0.0003261527,0.0007679727,0.00009817352],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002007054,"about_ca_system_score_gemma":0.000289718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001011595,"about_ca_topic_score_gemma":0.002078366,"domain_scores_codex":[0.9998366,0.00002168898,0.00001243168,0.00004391728,0.00003020438,0.00005530416],"domain_scores_gemma":[0.9997849,0.0000114298,0.00005408618,0.00001806953,0.000017161,0.0001143143],"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":[0.01987464,0.00549241,0.01237474,0.0002197559,0.0001559946,0.0002357324,0.0001601743,0.0002045436,0.9443603,0.00009944549,0.0001441573,0.01667815],"study_design_scores_gemma":[0.001060594,0.07291487,0.5850249,0.00008742084,0.000684079,0.0005554341,0.0008682123,0.003189438,0.3319688,0.0003450641,0.003204015,0.00009720614],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993483,0.0001701186,0.0002236105,0.00002961396,0.00001609797,0.0000112838,0.00005147953,0.000009365377,0.0001400595],"genre_scores_gemma":[0.9958834,0.000535885,0.001175205,0.0001249338,0.00002223617,0.0001237341,0.0002222424,0.00001080287,0.001901501],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001011595,"threshold_uncertainty_score":0.003055573,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01506402364480112,"score_gpt":0.2580837146248048,"score_spread":0.2430196909800037,"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."}}