{"id":"W1997140139","doi":"10.1089/omi.2009.0011","title":"Risk Assessment and Communication Tools for Genotype Associations with Multifactorial Phenotypes: The Concept of “Edge Effect” and Cultivating an Ethical Bridge between Omics Innovations and Society","year":2009,"lang":"en","type":"article","venue":"OMICS A Journal of Integrative Biology","topic":"Nutrition, Genetics, and Disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Université du Québec","funders":"National Institute of Diabetes and Digestive and Kidney Diseases","keywords":"Pharmacogenomics; Omics; Population; Biology; Personalized medicine; Genetic association; Precision medicine; Data science; Biotechnology; Bioinformatics; Genetics; Medicine; Single-nucleotide polymorphism; Genotype; Computer science; Environmental health","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005930264,0.0001134318,0.0002325454,0.00002409826,0.0001966537,0.00003864416,0.00009644901,0.0002052012,3.972116e-7],"category_scores_gemma":[0.0006785964,0.00007075907,0.00005157382,0.00004902239,0.0003193688,0.00001448102,0.00003022251,0.0002739073,9.10164e-9],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002480753,"about_ca_system_score_gemma":0.0001265601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001642407,"about_ca_topic_score_gemma":0.00002127957,"domain_scores_codex":[0.9991585,0.0002703837,0.0003006302,0.0001290424,0.00004838142,0.00009307959],"domain_scores_gemma":[0.9981849,0.0005185112,0.0004740951,0.0001142419,0.0006564273,0.00005186515],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001144289,0.0002969367,0.306972,0.0000313796,0.0009778228,2.198224e-7,0.006226141,0.00003673278,0.6138565,0.02325082,0.0004624756,0.04674468],"study_design_scores_gemma":[0.006828605,0.008797695,0.90087,0.00006559464,0.000429084,0.00001294041,0.002324752,0.0005171299,0.06986106,0.008733494,0.001219343,0.0003403524],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9739284,0.000588688,0.02427272,0.0005137841,0.00003809803,0.000252398,0.0003923305,0.000001629421,0.0000119635],"genre_scores_gemma":[0.9831381,0.0008005574,0.01532876,0.0001786566,0.0002173584,0.000005451729,0.000323186,0.000006462037,0.000001402486],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5938979,"threshold_uncertainty_score":0.2885471,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02234675879850919,"score_gpt":0.3458051585407783,"score_spread":0.3234583997422691,"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."}}