{"id":"W4389802738","doi":"10.1016/j.jff.2023.105947","title":"Chokeberry reduces inflammation in human preadipocytes","year":2023,"lang":"en","type":"article","venue":"Journal of Functional Foods","topic":"Adipokines, Inflammation, and Metabolic Diseases","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"National Institute of General Medical Sciences; Oak Ridge Institute for Science and Education; National Institutes of Health; Agricultural Research Service; Oak Ridge Associated Universities; U.S. Department of Agriculture; U.S. Department of Energy","keywords":"Inflammation; Chemistry; Internal medicine; Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004967659,0.0001054936,0.0002579915,0.0004699512,0.00006875048,0.00001976313,0.00006166558,0.00006547888,0.0002992494],"category_scores_gemma":[0.0003625981,0.00008598345,0.000146372,0.0004707834,0.00004297451,0.0003329168,0.00001410013,0.0001737811,0.00004153985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006875405,"about_ca_system_score_gemma":0.0002380139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006634972,"about_ca_topic_score_gemma":0.000006814291,"domain_scores_codex":[0.9986336,0.00004131511,0.0005940227,0.00009998248,0.0004762252,0.0001548734],"domain_scores_gemma":[0.9991119,0.00008226364,0.0002829353,0.00009573941,0.0002949501,0.0001322427],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.003287225,0.000922439,0.2216254,0.0006134041,0.001204372,0.0005239786,0.002161013,0.01277828,0.5727363,0.01351571,0.08584005,0.0847918],"study_design_scores_gemma":[0.00206004,0.0002974285,0.946883,0.0002170228,0.0001532509,0.000201459,0.0002108213,0.0002095666,0.01167201,0.002067478,0.03592059,0.0001073953],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993762,0.0004554069,0.00006710987,0.001187463,0.0006398661,0.000120114,0.000003284091,0.00003727248,0.003727511],"genre_scores_gemma":[0.9944859,0.0001562894,0.0001686736,0.00007703459,0.002396375,0.000009061616,0.00004865606,0.00001464301,0.002643334],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7252575,"threshold_uncertainty_score":0.3506303,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03278266047585302,"score_gpt":0.3032254741077516,"score_spread":0.2704428136318986,"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."}}