{"id":"W1977785348","doi":"10.2217/pme.12.79","title":"Applying Genomics to Nutrition and Lifestyle Modification","year":2012,"lang":"en","type":"article","venue":"Personalized Medicine","topic":"Nutrition, Genetics, and Disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Advanced Foods and Materials Network","keywords":"Genomics; Medicine; Nutrigenomics; Computational biology; Gerontology; Genetics; Bioinformatics; Biology; Genome; Gene","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":[0.00256154,0.0005707855,0.0007848548,0.001020453,0.0004375004,0.002105517,0.0004855377,0.001832332,0.003781673],"category_scores_gemma":[0.004491769,0.0002034638,0.0005897715,0.000763489,0.003017734,0.001394499,0.001194507,0.00212796,0.0006715658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001326205,"about_ca_system_score_gemma":0.00160524,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002590423,"about_ca_topic_score_gemma":0.002017353,"domain_scores_codex":[0.9985607,0.000982671,0.00004090502,0.0001555304,0.0001729742,0.00008721586],"domain_scores_gemma":[0.9981558,0.001350895,0.0001317701,0.0001374582,0.0001136796,0.0001104736],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002379263,0.0004688832,0.01327478,0.001399624,0.0004113826,0.0009034202,0.00122028,0.005652645,0.006712167,0.329666,0.01875416,0.6212988],"study_design_scores_gemma":[0.00008735061,0.000436083,0.01438265,0.001039046,0.0001853475,0.0009812537,0.001065977,0.003339484,0.003015915,0.7735568,0.2018074,0.0001025737],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.05231195,0.3389636,0.1879274,0.2937572,0.005853149,0.0003195744,0.0007501471,0.0007393127,0.1193778],"genre_scores_gemma":[0.4667563,0.3109784,0.1364897,0.06219294,0.006597086,0.0005722371,0.0004073273,0.0001057426,0.01590028],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003781673,"threshold_uncertainty_score":0.01354688,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02474159473619256,"score_gpt":0.2997347542928981,"score_spread":0.2749931595567055,"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."}}