{"id":"W4392918010","doi":"10.3390/nu16060871","title":"Glycomacropeptide as an Efficient Agent to Fight Pathophysiological Mechanisms of Metabolic Syndrome","year":2024,"lang":"en","type":"article","venue":"Nutrients","topic":"Diet, Metabolism, and Disease","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Université de Montréal; Centre Hospitalier Universitaire Sainte-Justine","funders":"Ministero dello Sviluppo Economico; Ontario Ministry of Economic Development and Innovation; Government of Canada; Canadian Institutes of Health Research; Alliance de recherche numérique du Canada; Genome Canada; Ontario Genomics; Ontario Genomics Institute; Dairy Farmers of Canada","keywords":"Metabolic syndrome; Oxidative stress; Internal medicine; Insulin resistance; Endocrinology; Inflammation; Fructose; Hyperinsulinemia; Steatosis; Endoplasmic reticulum; Gut flora; Homeostasis; Fatty liver; Medicine; Insulin; Biology; Diabetes mellitus; Immunology; Biochemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009932241,0.0002529718,0.0002231128,0.0002671961,0.0001062372,0.0001868127,0.0001564068,0.0002823949,0.0008278299],"category_scores_gemma":[0.00006242613,0.00005211428,0.0001240181,0.0001629005,0.0001415741,0.0002092657,0.0002265549,0.0005089088,0.0001195727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009965948,"about_ca_system_score_gemma":0.0001191244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002182568,"about_ca_topic_score_gemma":0.0003885057,"domain_scores_codex":[0.9999579,0.00001256636,0.000002315861,0.000007238835,0.00001160192,0.00000847847],"domain_scores_gemma":[0.9999739,0.000002970809,0.000007784888,0.000001726658,0.000004022721,0.00000965436],"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":[0.00125481,0.000444109,0.0004837974,0.0006110105,0.0000382433,0.0003312844,0.00002725876,0.0002231766,0.9449193,0.0007147772,0.0003176966,0.05063448],"study_design_scores_gemma":[0.0009206185,0.01815929,0.02398126,0.0003160124,0.0002734376,0.002856398,0.0001482054,0.002082689,0.8544391,0.001454279,0.09531672,0.00005196381],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9086094,0.07894795,0.006167301,0.0009156137,0.0002796584,0.0001269616,0.0003174335,0.0001076116,0.004528057],"genre_scores_gemma":[0.9596947,0.0315582,0.005928825,0.0003020307,0.0001153267,0.00005933033,0.0002354931,0.00001261253,0.002093486],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008278299,"threshold_uncertainty_score":0.002769351,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01519953157517226,"score_gpt":0.2909142843434503,"score_spread":0.275714752768278,"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."}}