{"id":"W6982409871","doi":"","title":"Inclusion and exclusion in nutrigenetics clinical research: ethical & scientific challenges","year":2012,"lang":"en","type":"article","venue":"Papyrus : Institutional Repository (Université de Montréal)","topic":"Historical Studies on Reproduction, Gender, Health, and Societal Changes","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research; Dalhousie University; Université Laval","keywords":"Inclusion (mineral); Ethnic group; Public health; MEDLINE; Demographics; Research ethics; Consistency (knowledge bases); Economic Justice","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":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.6090699,0.0008542674,0.003135977,0.008239491,0.009642774,0.0104341,0.005748309,0.007033039,0.002762728],"category_scores_gemma":[0.7002031,0.001407665,0.00156213,0.01309265,0.02714485,0.01080166,0.0112272,0.005632075,0.0006015334],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006076716,"about_ca_system_score_gemma":0.04455863,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002826282,"about_ca_topic_score_gemma":0.004819389,"domain_scores_codex":[0.2492636,0.5863506,0.09345232,0.01015978,0.05760914,0.003164596],"domain_scores_gemma":[0.1102624,0.7269365,0.06928894,0.04824254,0.04094727,0.00432239],"domain_codex":"methods","domain_gemma":"methods","domain_candidate":"methods","domain_consensus":"methods","study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001621495,0.0004193789,0.07789849,0.04591484,0.0009415015,0.005363737,0.2635455,0.000594906,0.002276572,0.214743,0.0639203,0.3227603],"study_design_scores_gemma":[0.0008419105,0.0007583806,0.04884262,0.133887,0.001041041,0.005541625,0.1503214,0.002267192,0.004851673,0.3109366,0.3402832,0.0004272372],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1675961,0.1081111,0.1218272,0.5076381,0.01563812,0.02873649,0.00187703,0.0001541523,0.04842162],"genre_scores_gemma":[0.6434521,0.03234839,0.1690607,0.08262917,0.008205025,0.05745503,0.001080294,0.0001789459,0.005590351],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3909301,"threshold_uncertainty_score":0.4820865,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.159210968763097,"score_gpt":0.3048089406338175,"score_spread":0.1455979718707205,"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."}}