{"id":"W2906834044","doi":"10.21820/23987073.2018.10.83","title":"DERIVE – Development of Riboflavin biomarkers to relate dietary sources with status, gene-nutrient Interactions and Validated health Effects in adult cohorts – & VALID – Valerolactones and healthy Ageing: LInking Dietary factors, nutrient biomarkers, metabolic status and inflammation with cognition in older adults","year":2018,"lang":"en","type":"article","venue":"Impact","topic":"Diet and metabolism studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Biotechnology and Biological Sciences Research Council","keywords":"Nutrient; Ageing; Riboflavin; Biology; Genetics; Food science; Ecology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01537148,0.001123484,0.0009212216,0.001252054,0.0009402421,0.002374634,0.002054586,0.001717615,0.01463007],"category_scores_gemma":[0.02330382,0.0006076539,0.001793694,0.00164713,0.0006102185,0.0009473451,0.00330739,0.001269695,0.006378087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001531819,"about_ca_system_score_gemma":0.004180457,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01938811,"about_ca_topic_score_gemma":0.04440103,"domain_scores_codex":[0.9952462,0.002053152,0.0004853878,0.0006431158,0.001230874,0.0003412377],"domain_scores_gemma":[0.9835459,0.002764409,0.002912025,0.002669449,0.007086363,0.001021872],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.008032479,0.001120349,0.4537661,0.004934698,0.002988236,0.0004713749,0.001323458,0.00188917,0.02110032,0.007746714,0.1602162,0.3364108],"study_design_scores_gemma":[0.001443373,0.003707639,0.6443115,0.002154208,0.001720411,0.00076041,0.0006904766,0.002077154,0.02266203,0.007289671,0.3128997,0.0002834275],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.261556,0.01456809,0.09626884,0.02280735,0.003501391,0.01657616,0.4919995,0.002951125,0.08977148],"genre_scores_gemma":[0.4001445,0.009003852,0.2034099,0.01553753,0.001501465,0.02604129,0.2595589,0.001560617,0.08324188],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01938811,"threshold_uncertainty_score":0.08129317,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01810385953688087,"score_gpt":0.3049812328911825,"score_spread":0.2868773733543016,"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."}}