{"id":"W2990203794","doi":"10.3390/nu11122894","title":"Anti-Atherosclerotic Properties of Wild Rice in Low-Density Lipoprotein Receptor Knockout Mice: The Gut Microbiome, Cytokines, and Metabolomics Study","year":2019,"lang":"en","type":"article","venue":"Nutrients","topic":"GABA and Rice Research","field":"Agricultural and Biological Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; St. Boniface Hospital","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Metabolomics; Feces; Microbiome; Biology; LDL receptor; Knockout mouse; Population; Lipoprotein; Receptor; Metabolome; Endocrinology; Internal medicine; Immunology; Microbiology; Biochemistry; Medicine; Cholesterol; Bioinformatics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004628914,0.0001347207,0.0002724465,0.0000266125,0.0001145364,0.00004424543,0.0003274178,0.0000785906,0.00003553077],"category_scores_gemma":[0.00004689826,0.00004118244,0.00004658001,0.0005224502,0.0001246681,0.00009771581,0.0001942027,0.0001740706,0.00005065958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001996817,"about_ca_system_score_gemma":0.00001035883,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001578055,"about_ca_topic_score_gemma":0.0002304548,"domain_scores_codex":[0.998737,0.0001815556,0.00024082,0.0002997791,0.0002590514,0.0002818181],"domain_scores_gemma":[0.9995987,0.00006152278,0.00009131333,0.0001029387,0.00009463647,0.00005084457],"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":[0.00006315649,0.0005283079,0.09264535,0.00003639178,0.00001436548,5.73299e-7,0.000457392,5.944792e-7,0.9046857,0.000003538252,0.00003457752,0.001530074],"study_design_scores_gemma":[0.0005802962,0.0002688954,0.9169344,0.00008131568,0.000009483578,0.000001679197,0.002180039,0.00001183298,0.0793332,0.00001050596,0.0004695563,0.0001188281],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976883,0.0004619779,6.377643e-8,0.0003400071,0.00009922357,0.001349967,0.00001576663,0.00001370058,0.00003099284],"genre_scores_gemma":[0.9993647,0.0001705305,0.000009690185,0.0000361237,0.00004522051,0.00002047898,0.000005021331,0.000001642139,0.000346533],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8253525,"threshold_uncertainty_score":0.2385558,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01928199106695857,"score_gpt":0.2207234010061216,"score_spread":0.201441409939163,"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."}}