{"id":"W4414575465","doi":"10.1021/acs.jafc.5c05443","title":"Effects of β-Glucan from Three Different Sources on Glucolipid Metabolism in Mice with Metabolic Syndrome","year":2025,"lang":"en","type":"article","venue":"Journal of Agricultural and Food Chemistry","topic":"Food composition and properties","field":"Nursing","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Key Research and Development Program of Jiangxi Province; Jiangxi Provincial Department of Science and Technology; Ministry of Science and Technology of the People's Republic of China; National Natural Science Foundation of China","keywords":"CD36; Metabolic syndrome; Lipid metabolism; Inflammation; Metabolism; Prebiotic; CCL2; Adipose tissue","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":[0.0003475323,0.0009803295,0.0007691852,0.001073765,0.0003381802,0.0004655424,0.0002796689,0.0007687481,0.001345104],"category_scores_gemma":[0.0001571453,0.000458449,0.0007230379,0.0005436541,0.0005910171,0.0004596475,0.0003247001,0.002117371,0.0002645254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004023701,"about_ca_system_score_gemma":0.0004664141,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001548021,"about_ca_topic_score_gemma":0.002106972,"domain_scores_codex":[0.999686,0.00006271082,0.00003372243,0.00005201717,0.00005211747,0.0001134887],"domain_scores_gemma":[0.9997106,0.00001775769,0.00006511447,0.00002440917,0.00002364485,0.0001584779],"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":[0.009448513,0.001840514,0.0009070213,0.0000954981,0.00005979619,0.000143813,0.0000711698,0.0001553866,0.9839528,0.0001121836,0.0001068388,0.003106399],"study_design_scores_gemma":[0.0009894875,0.02313332,0.02985702,0.00004713185,0.0003069144,0.000297062,0.0004056161,0.001943325,0.940314,0.000332118,0.002314581,0.00005945174],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971237,0.0007296614,0.0007298259,0.0001974453,0.00006898585,0.00005148435,0.0005189101,0.00007724257,0.0005028421],"genre_scores_gemma":[0.9916312,0.001506895,0.001807215,0.0002735251,0.00002648919,0.0002095702,0.000930629,0.00004924713,0.003565129],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001548021,"threshold_uncertainty_score":0.004499793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004776756380136923,"score_gpt":0.1827928303682191,"score_spread":0.1780160739880822,"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."}}