{"id":"W2118756389","doi":"10.1079/bjn20041126","title":"Anthocyanin metabolites in human urine and serum","year":2004,"lang":"en","type":"article","venue":"British Journal Of Nutrition","topic":"Phytochemicals and Antioxidant Activities","field":"Medicine","cited_by":251,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; Canadian Food Inspection Agency; Agriculture and Agri-Food Canada","funders":"Ministry of Agriculture, Food and Rural Affairs; Ontario Ministry of Agriculture, Food and Rural Affairs","keywords":"Urine; Anthocyanin; Chemistry; Food science; Chromatography; Biochemistry","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":[0.0001396776,0.00005592185,0.0002432391,0.0001100459,0.00003382975,0.0000306566,0.00002640854,0.00004159113,0.00001847271],"category_scores_gemma":[0.00004525106,0.00006215709,0.00005814125,0.0000898947,0.00004902777,0.0002218575,0.00000965561,0.0001934169,3.56866e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003192126,"about_ca_system_score_gemma":0.00002174877,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003550366,"about_ca_topic_score_gemma":0.00001295068,"domain_scores_codex":[0.9994172,0.00001556721,0.000257254,0.0000694257,0.0001318027,0.0001087583],"domain_scores_gemma":[0.9997209,0.00001321805,0.00009459968,0.00003048799,0.00007250368,0.00006824058],"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":[0.0000861085,0.001562037,0.005809698,0.0002587882,0.00002955086,0.001700858,0.00006823354,0.000001179319,0.9813884,0.0003693261,0.0002415541,0.008484282],"study_design_scores_gemma":[0.0116128,0.0005651139,0.4454214,0.005743039,0.00007350973,0.02924633,0.0003292342,0.00000274432,0.4887115,0.01696378,0.001175122,0.0001554001],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9895889,0.009401717,0.00002984582,0.0006803529,0.00003111757,0.00007497401,0.000009188473,0.000006649841,0.0001772957],"genre_scores_gemma":[0.9942541,0.00422846,0.001117587,0.00008526821,0.0002827206,0.00000181093,0.000003856689,0.000007597315,0.00001856718],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4926769,"threshold_uncertainty_score":0.2534693,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01060999384160526,"score_gpt":0.2591368574920084,"score_spread":0.2485268636504031,"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."}}