{"id":"W1979196241","doi":"10.1089/omi.2009.0013","title":"Genome–Environment Interactions and Prospective Technology Assessment: Evolution from Pharmacogenomics to Nutrigenomics and Ecogenomics","year":2009,"lang":"en","type":"review","venue":"OMICS A Journal of Integrative Biology","topic":"Nutrition, Genetics, and Disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Université du Québec","funders":"","keywords":"Nutrigenomics; Pharmacogenomics; Genomics; Genome; Data science; Biology; Biotechnology; Bioinformatics; Genetics; Computer science; Gene","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0646372,0.001378726,0.002165256,0.007529325,0.001985393,0.01141749,0.002264767,0.005766927,0.002600018],"category_scores_gemma":[0.09794889,0.0009662506,0.001412961,0.008042754,0.03157956,0.01241682,0.007297491,0.008324045,0.0005185622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008451459,"about_ca_system_score_gemma":0.005502569,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005326429,"about_ca_topic_score_gemma":0.003004082,"domain_scores_codex":[0.9656024,0.02381065,0.001344698,0.00450048,0.004111687,0.0006301287],"domain_scores_gemma":[0.8640079,0.1121438,0.006222227,0.006496137,0.009668906,0.001460985],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003796735,0.0002287805,0.07119142,0.001573248,0.0008594245,0.0008094373,0.007378348,0.01063227,0.002010397,0.5691757,0.005759898,0.3300014],"study_design_scores_gemma":[0.00006212181,0.0003465168,0.03593446,0.001118494,0.0002237916,0.0009950332,0.003180725,0.01064925,0.002209606,0.8680876,0.07688005,0.0003123729],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.1167578,0.173695,0.4031267,0.2149519,0.002420901,0.000598606,0.001201805,0.0006537875,0.08659344],"genre_scores_gemma":[0.6531266,0.07676598,0.2366164,0.02518306,0.002811564,0.0005629516,0.0004258132,0.0002909903,0.004216592],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.0646372,"threshold_uncertainty_score":0.3418382,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01248780909350767,"score_gpt":0.3197452443533715,"score_spread":0.3072574352598639,"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."}}