{"id":"W3023806404","doi":"10.1159/000507252","title":"What Will It Take to Build an Expert Group of Nutrigenomic Practitioners?","year":2020,"lang":"en","type":"article","venue":"Lifestyle Genomics","topic":"Nutrition, Genetics, and Disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Wageningen University and Research; University of Toronto","keywords":"Credibility; Nutrigenomics; Context (archaeology); Genetic testing; Value (mathematics); Mentorship; Medical education; Psychology; Medicine; Computer science; Genetics; Biology; Political science; Internal medicine","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":[0.0699308,0.001453009,0.001661411,0.002695465,0.009224986,0.01288132,0.006834786,0.03076534,0.0386215],"category_scores_gemma":[0.1469077,0.001447287,0.002107869,0.001023156,0.004637653,0.01798249,0.01385067,0.01626594,0.02448711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007731962,"about_ca_system_score_gemma":0.05229427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008006993,"about_ca_topic_score_gemma":0.009887013,"domain_scores_codex":[0.9589595,0.01883995,0.00239049,0.003314236,0.00690691,0.009588981],"domain_scores_gemma":[0.6612587,0.04888039,0.01087134,0.009306832,0.07551593,0.1941669],"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":[0.0005958475,0.001320567,0.01547956,0.003360467,0.0001416904,0.003947993,0.01011676,0.0005461504,0.002138365,0.01181258,0.6204767,0.3300634],"study_design_scores_gemma":[0.0008739763,0.001127081,0.01925849,0.02018675,0.0002430211,0.005723868,0.05988714,0.001521094,0.00113128,0.03661719,0.8529398,0.0004903192],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.006126398,0.01111304,0.008536492,0.936525,0.02504188,0.0008867917,0.0001485962,0.0004172761,0.01120455],"genre_scores_gemma":[0.1258522,0.02825843,0.09862129,0.6800122,0.02884972,0.009292652,0.001312284,0.0004261196,0.02737494],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0699308,"threshold_uncertainty_score":0.3698338,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01474473940054418,"score_gpt":0.263065674458116,"score_spread":0.2483209350575718,"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."}}