{"id":"W2091501710","doi":"10.1515/cclm.2007.057","title":"Nutrigenomics – 2006 update","year":2007,"lang":"en","type":"review","venue":"Clinical Chemistry and Laboratory Medicine (CCLM)","topic":"Nutrition, Genetics, and Disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Genome Canada","keywords":"Nutrigenomics; Computational biology; Medicine; Biology; Genetics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.001701902,0.001458893,0.00164137,0.00351748,0.0003540004,0.001755464,0.001854003,0.002700006,0.01677209],"category_scores_gemma":[0.002444835,0.0005518755,0.000697699,0.003516217,0.0005278398,0.00256303,0.001117457,0.002943641,0.01570118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001576732,"about_ca_system_score_gemma":0.002428778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003334578,"about_ca_topic_score_gemma":0.006441742,"domain_scores_codex":[0.9995143,0.00008392211,0.00007094947,0.00007825594,0.0002245253,0.00002806003],"domain_scores_gemma":[0.9986804,0.0003906972,0.0001265338,0.0000451406,0.0006130203,0.0001441359],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007628818,0.00009665173,0.0001420156,0.004258971,0.00005114366,0.0002156307,0.00002751313,0.000185627,0.0004920354,0.001864729,0.2421284,0.750461],"study_design_scores_gemma":[0.00001180804,0.00002238018,0.0002952039,0.001260666,0.00002947981,0.0006689438,0.00001057006,0.00002476011,0.00008624466,0.0003091596,0.9972741,0.000006706688],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001491935,0.9825419,0.0004208375,0.003216257,0.003367834,0.00003237953,0.0002093797,0.00006026083,0.01000196],"genre_scores_gemma":[0.0004100446,0.9893609,0.0007639331,0.001964092,0.001519471,0.00003031744,0.0003586336,0.00001089877,0.005581626],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01677209,"threshold_uncertainty_score":0.05610824,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05506493309337914,"score_gpt":0.4021210531891449,"score_spread":0.3470561200957658,"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."}}