{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003525823,0.0005229656,0.0005169195,0.0005715777,0.0003112416,0.001420109,0.0005562612,0.001118944,0.01366124],"category_scores_gemma":[0.0004178813,0.0001974964,0.0002151526,0.0006392054,0.001397262,0.001159667,0.0006582669,0.001843888,0.005297227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007469972,"about_ca_system_score_gemma":0.0005564046,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009105956,"about_ca_topic_score_gemma":0.002082261,"domain_scores_codex":[0.9998546,0.00004562069,0.000002976108,0.00002335726,0.00006357334,0.000009931331],"domain_scores_gemma":[0.9998991,0.00006715949,0.000004228437,0.000009995343,0.00001136504,0.00000813256],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003867113,0.0000922242,0.0002301602,0.000326455,0.00001738151,0.0001517432,0.0003300431,0.0010938,0.004295289,0.4495833,0.1390761,0.4047648],"study_design_scores_gemma":[0.000007031251,0.00001906635,0.0003736099,0.0001769853,0.000006351115,0.0003983013,0.00009220277,0.0005185281,0.0007988626,0.1767645,0.8208354,0.000009124028],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002437783,0.284308,0.06099909,0.02042539,0.003773615,0.00007137029,0.0002594959,0.000540357,0.6271849],"genre_scores_gemma":[0.04202345,0.1712821,0.05092175,0.01443548,0.002137004,0.0002079944,0.0003214548,0.0002312199,0.7184396],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01366124,"threshold_uncertainty_score":0.04570138,"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."}}