{"id":"W4376472513","doi":"10.1007/978-3-031-24663-0_24","title":"Genomics and Gene-Based Personalized Nutrition","year":2023,"lang":"en","type":"book-chapter","venue":"Nutrition and health","topic":"Nutrition, Genetics, and Disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Kwantlen Polytechnic University; Université de Sherbrooke","funders":"","keywords":"Genomics; Computational biology; Biology; Personalized medicine; Gene; Medicine; Genetics; Genome","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001738392,0.0002924891,0.0003294586,0.0001487389,0.0002278648,0.00005003479,0.00006773668,0.0004019476,0.00004784757],"category_scores_gemma":[0.000008478856,0.0003503715,0.0001257445,0.0000225066,0.0001828675,0.000003015998,0.00004264572,0.0001447963,0.00001419499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005261811,"about_ca_system_score_gemma":0.0002560779,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001393978,"about_ca_topic_score_gemma":0.00006018978,"domain_scores_codex":[0.9986391,0.00003336704,0.000325678,0.0005768223,0.0001604807,0.0002645531],"domain_scores_gemma":[0.9991107,0.00001146693,0.0001617057,0.0002396972,0.000120035,0.0003563799],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00456877,0.003335619,0.00101546,0.03476942,0.0007455606,0.0001374464,0.0004905617,0.000008091708,0.06524685,0.100805,0.7481406,0.04073657],"study_design_scores_gemma":[0.006633705,0.000740556,0.0004885813,0.000577366,0.0000728564,0.0000339669,0.00007015686,0.0000422863,0.001300636,0.013676,0.9757618,0.0006021467],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.08522392,0.7596005,0.004673482,0.05590463,0.003261406,0.01670002,0.01964479,0.001008598,0.05398262],"genre_scores_gemma":[0.02515099,0.7989337,0.007150909,0.01520236,0.005361607,0.0004820038,0.02680796,0.0004553069,0.1204551],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.2276211,"threshold_uncertainty_score":0.9998949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03992881157422259,"score_gpt":0.2931411656040011,"score_spread":0.2532123540297785,"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."}}