{"id":"W2657905489","doi":"10.1371/journal.pgen.1006812","title":"Ranking and characterization of established BMI and lipid associated loci as candidates for gene-environment interactions","year":2017,"lang":"en","type":"review","venue":"PLoS Genetics","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; University of Toronto","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Human Genome Research Institute; Novo Nordisk Fonden; National Institute of Diabetes and Digestive and Kidney Diseases; National Heart, Lung, and Blood Institute; Medical Research Council; National Institute for Health and Care Research; Wellcome Trust","keywords":"Biology; Genetics; Computational biology; Gene; Ranking (information retrieval); Evolutionary biology; Information retrieval","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":[0.00282729,0.00090396,0.001372695,0.002157888,0.0008456176,0.001655273,0.0008410404,0.0007761979,0.003094217],"category_scores_gemma":[0.006338123,0.0003419459,0.002303347,0.002344184,0.000720951,0.0004412729,0.001141802,0.001153749,0.0005783954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002266947,"about_ca_system_score_gemma":0.0006957906,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001908818,"about_ca_topic_score_gemma":0.003893185,"domain_scores_codex":[0.9981164,0.0005108622,0.0001351544,0.0006636974,0.0003020556,0.0002718764],"domain_scores_gemma":[0.9933169,0.004495076,0.0009412681,0.000387366,0.0003292459,0.0005302349],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.001656624,0.000140106,0.9172515,0.0003766563,0.002453837,0.001992818,0.0005229394,0.004236818,0.03742065,0.001121207,0.0006354393,0.03219142],"study_design_scores_gemma":[0.0001197328,0.0004414545,0.9668595,0.00006307429,0.001745442,0.001427507,0.0004267057,0.02140263,0.003181528,0.002306128,0.00196137,0.00006500026],"study_design_candidate":"meta_analysis","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.9865063,0.001549981,0.01000711,0.000112824,0.00002968272,0.00003989599,0.0008992178,0.0001682613,0.0006869313],"genre_scores_gemma":[0.9928944,0.0002006421,0.005382873,0.00005283394,0.00003064447,0.00003022564,0.0009568114,0.00005462973,0.0003970221],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.003094217,"threshold_uncertainty_score":0.0149523,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04871597195813082,"score_gpt":0.3204431043330564,"score_spread":0.2717271323749256,"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."}}