{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004504657,0.0005167518,0.0004676438,0.0006986214,0.0003626061,0.0005750862,0.0001678848,0.0005265669,0.001558244],"category_scores_gemma":[0.0008066687,0.0002342457,0.0002012017,0.0005284058,0.0001871362,0.0001784077,0.0002080221,0.0002732315,0.0007669521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001667348,"about_ca_system_score_gemma":0.0004378008,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001476518,"about_ca_topic_score_gemma":0.001474429,"domain_scores_codex":[0.9993002,0.0001723354,0.0000425873,0.0001921028,0.0002297197,0.00006311829],"domain_scores_gemma":[0.9997206,0.00005064404,0.00005360955,0.00003056023,0.00009698803,0.00004747496],"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":[0.004470581,0.0006727178,0.2871599,0.0004482468,0.0003634317,0.002060682,0.0006199211,0.0003181639,0.5964832,0.0002355452,0.001848619,0.1053189],"study_design_scores_gemma":[0.0002142311,0.006639563,0.6462175,0.0001277733,0.0004012104,0.01767205,0.0006405244,0.002427352,0.3055887,0.0004844431,0.01951526,0.00007139833],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9618551,0.01756569,0.01156656,0.0003157575,0.000210819,0.0001389572,0.001763695,0.0008084555,0.00577481],"genre_scores_gemma":[0.98695,0.002003062,0.005226312,0.0005547113,0.00007679763,0.00007640418,0.001416837,0.00003476401,0.003661007],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001558244,"threshold_uncertainty_score":0.005212843,"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."}}