{"id":"W2765599500","doi":"10.1016/j.molmet.2017.10.003","title":"A polyphenol-rich cranberry extract reverses insulin resistance and hepatic steatosis independently of body weight loss","year":2017,"lang":"en","type":"article","venue":"Molecular Metabolism","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":182,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier Universitaire Sainte-Justine; Université Laval","funders":"Canadian Institutes of Health Research","keywords":"Steatosis; Insulin resistance; Polyphenol; Weight loss; Diabetes mellitus; Body weight; Medicine; Biology; Chemistry; Traditional medicine; Internal medicine; Obesity; Endocrinology; Biochemistry; Antioxidant","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":[0.00008344223,0.0004559589,0.0004772029,0.0005620694,0.0001617403,0.0002039212,0.0002242388,0.0002739671,0.001118935],"category_scores_gemma":[0.00009965388,0.0001232694,0.0002781998,0.0001813788,0.0002334315,0.0002090136,0.0001728921,0.0007186,0.0001412288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001659002,"about_ca_system_score_gemma":0.000214702,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009841903,"about_ca_topic_score_gemma":0.001721125,"domain_scores_codex":[0.9999406,0.000006811043,0.000004155391,0.00001356409,0.00001753148,0.00001734265],"domain_scores_gemma":[0.9998758,0.000008156198,0.00004334545,0.00001101061,0.00001611747,0.00004559112],"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":[0.002199753,0.0006347146,0.0003397243,0.0001495581,0.00004254037,0.00004555791,0.00001387724,0.00006897335,0.9895273,0.0000314267,0.00008039714,0.006866123],"study_design_scores_gemma":[0.0008608605,0.01307413,0.03725852,0.00008673529,0.0003228544,0.000354754,0.00008933116,0.001114968,0.9404063,0.00009279586,0.006317717,0.00002102139],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965813,0.001726546,0.0007302475,0.0001213961,0.00003431257,0.00002969191,0.0002011011,0.0001048533,0.0004705296],"genre_scores_gemma":[0.9923452,0.002060378,0.001973295,0.0001433589,0.00003085473,0.00004659218,0.0005375477,0.000032931,0.002829873],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001118935,"threshold_uncertainty_score":0.003743172,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006956987472977448,"score_gpt":0.2528692535171271,"score_spread":0.2459122660441496,"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."}}