{"id":"W4200575325","doi":"10.3389/fnut.2021.789215","title":"A Systematic Review and Recommendations Around Frameworks for Evaluating Scientific Validity in Nutritional Genomics","year":2021,"lang":"en","type":"review","venue":"Frontiers in Nutrition","topic":"Nutrition, Genetics, and Disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Canadian Institutes of Health Research; Canada Research Chairs","keywords":"Genomics; Data science; Computer science; Biology; Genome; Genetics","routes":{"ca_aff":true,"ca_fund":true,"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":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.6525686,0.00654814,0.01858217,0.06946333,0.008687777,0.02800674,0.01987892,0.02204526,0.007936507],"category_scores_gemma":[0.8235795,0.007491585,0.03081268,0.04186244,0.01921797,0.03815276,0.0223876,0.01983812,0.004079959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04534239,"about_ca_system_score_gemma":0.1506674,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0250516,"about_ca_topic_score_gemma":0.03704862,"domain_scores_codex":[0.2547827,0.4855683,0.1844848,0.01362176,0.0568083,0.004734018],"domain_scores_gemma":[0.1147639,0.6597925,0.07225232,0.02041606,0.1273116,0.005463616],"domain_codex":"methods","domain_gemma":"methods","domain_candidate":"methods","domain_consensus":"methods","study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0006395897,0.0001584488,0.002840889,0.6850051,0.00852934,0.0003111857,0.00807224,0.001592302,0.0003161127,0.03108801,0.06571261,0.1957342],"study_design_scores_gemma":[0.0007172581,0.0001310169,0.001260615,0.907984,0.006490485,0.000150119,0.002557201,0.001031085,0.0002197705,0.02509928,0.05413822,0.0002210671],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.002011564,0.6107205,0.06613149,0.242807,0.02166012,0.0433836,0.003388493,0.0007874332,0.009109796],"genre_scores_gemma":[0.0400603,0.286841,0.5035612,0.06225516,0.003599246,0.09926768,0.002614726,0.0002660059,0.001534758],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.3474314,"threshold_uncertainty_score":0.4284447,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05205246482638318,"score_gpt":0.3647624638097674,"score_spread":0.3127099989833843,"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."}}