{"id":"W2002789293","doi":"10.1159/000334853","title":"Inclusion and Exclusion in Nutrigenetics Clinical Research: Ethical and Scientific Challenges","year":2011,"lang":"en","type":"review","venue":"Lifestyle Genomics","topic":"Nutrition, Genetics, and Disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Canadian Institutes of Health Research","keywords":"Inclusion (mineral); Ethnic group; Demographics; Medicine; Research ethics; Gerontology; Psychology; Family medicine; Political science; Psychiatry; Social psychology; Demography; Sociology; Law","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.003389464,0.0003629609,0.0007911387,0.0003052049,0.0004771104,0.00008556464,0.000421423,0.001679664,0.000005844499],"category_scores_gemma":[0.0005116822,0.0003487166,0.0001558584,0.0001601052,0.0009525964,0.000003138706,0.003447368,0.0009713485,0.00001246186],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000417125,"about_ca_system_score_gemma":0.0005952409,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001096333,"about_ca_topic_score_gemma":0.0001435004,"domain_scores_codex":[0.9961631,0.001067221,0.0008105445,0.001217388,0.0002541781,0.0004875536],"domain_scores_gemma":[0.9982766,0.0001784322,0.0001828656,0.0007771719,0.0001675269,0.0004174245],"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":[0.000132532,0.0005632788,0.0003058463,0.007097194,0.0000728345,0.0000337182,0.00060004,3.339153e-7,0.0002183801,0.001557638,0.002277978,0.9871402],"study_design_scores_gemma":[0.0005167747,0.0003213637,0.0002170291,0.001041855,0.00009314863,0.00003040401,0.00005316934,0.000004142482,0.00002027432,0.002172016,0.9951577,0.0003721214],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.02155616,0.9768707,0.000009066518,0.0001323871,0.000395727,0.0006994085,0.00007796132,0.000009233418,0.0002493843],"genre_scores_gemma":[0.0009292803,0.9966904,0.0007615765,0.00009359922,0.000862806,0.00004726159,0.0002867592,0.00007087765,0.0002574227],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9928797,"threshold_uncertainty_score":0.9998965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.218999967526682,"score_gpt":0.4377895485190338,"score_spread":0.2187895809923518,"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."}}