{"id":"W4205967552","doi":"10.1016/j.jnutbio.2022.108946","title":"Raspberry consumption: identification of distinct immune-metabolic response profiles by whole blood transcriptome profiling","year":2022,"lang":"en","type":"article","venue":"The Journal of Nutritional Biochemistry","topic":"Nutrition, Genetics, and Disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut universitaire de cardiologie et de pneumologie de Québec; Université Laval","funders":"","keywords":"Transcriptome; Immune system; Computational biology; Biology; Gene expression profiling; Bioinformatics; Immunology; Gene expression; Gene; Genetics","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":[0.001063294,0.0001550713,0.0002032337,0.00006179653,0.0002543092,0.00001869622,0.0004322907,0.00007700962,0.00009237098],"category_scores_gemma":[0.0001528388,0.0001430411,0.0002324068,0.0001278235,0.0002457734,0.000009064467,0.0000762039,0.0002080233,0.000001486796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002311605,"about_ca_system_score_gemma":0.0002237777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001500477,"about_ca_topic_score_gemma":8.836604e-8,"domain_scores_codex":[0.998151,0.0003028609,0.0007271756,0.0001813695,0.0004681556,0.0001694095],"domain_scores_gemma":[0.9986274,0.00006412678,0.0005701752,0.0003026008,0.0003391276,0.00009651771],"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":[0.003082561,0.0008159195,0.001291078,0.0001293565,0.0001299826,0.000003552058,0.00003121237,0.00002840793,0.9895442,0.00001198963,0.004900218,0.00003158232],"study_design_scores_gemma":[0.001993561,0.0002476759,0.004534984,0.00003817176,0.0002002359,0.0003361529,0.000350171,0.000004824481,0.9872231,0.0002271562,0.004688809,0.0001551068],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9598178,0.03708535,0.0001568901,0.000661566,0.0001344233,0.0001715219,0.001951934,0.000004961405,0.00001555759],"genre_scores_gemma":[0.9972088,0.001022674,0.0001954169,0.00008018383,0.0002995814,0.00003614778,0.0007548186,0.00001907813,0.0003833285],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03739097,"threshold_uncertainty_score":0.5833048,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00877512939583822,"score_gpt":0.2452167550777526,"score_spread":0.2364416256819144,"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."}}