{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.001146228,0.0006472631,0.001581574,0.00003883,0.0001289746,0.00002518615,0.000446756,0.001402534,0.0002056719],"category_scores_gemma":[0.0008153371,0.0005529554,0.0003851067,0.0002344081,0.0009381292,0.000003887844,0.0001915358,0.0006599694,0.00003268201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002694619,"about_ca_system_score_gemma":0.0006555744,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001652256,"about_ca_topic_score_gemma":0.000001439443,"domain_scores_codex":[0.9965147,0.0001821814,0.00148919,0.001103946,0.000232593,0.000477418],"domain_scores_gemma":[0.9972544,0.00015505,0.0005320976,0.0009545923,0.0002820994,0.0008217806],"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":[0.0004345836,0.001060061,0.0005686526,0.04100595,0.001020206,0.0002532818,0.00001928339,5.362458e-7,0.001039555,0.00007405896,0.3624027,0.5921211],"study_design_scores_gemma":[0.001202201,0.0001644205,0.00001132986,0.001733252,0.000791823,0.0000266218,0.00002818338,4.088022e-7,0.0003329126,0.00007285507,0.9950525,0.0005835227],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0009784361,0.9954617,0.00007055337,0.00006988124,0.0005095583,0.0003507756,0.0006258574,0.00003193948,0.001901307],"genre_scores_gemma":[0.00006104073,0.98721,0.0001632639,0.001040925,0.007655475,0.0000340567,0.002503104,0.00008875071,0.001243392],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.6326498,"threshold_uncertainty_score":0.9998938,"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."}}