{"id":"W2082458892","doi":"10.1002/gepi.21771","title":"Identification of New Genetic Susceptibility Loci for Breast Cancer Through Consideration of Gene‐Environment Interactions","year":2013,"lang":"en","type":"article","venue":"Genetic Epidemiology","topic":"Molecular Biology Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec; Université Laval; University Health Network; Mount Sinai Hospital; Lunenfeld-Tanenbaum Research Institute; Occupational Cancer Research Centre; Centre hospitalier universitaire de Québec","funders":"Universitätsklinikum Hamburg-Eppendorf; Instituto de Salud Carlos III; Medical Research Council; Rheinische Friedrich-Wilhelms-Universität Bonn; National Health and Medical Research Council; Institut National Du Cancer; Cancer Council Victoria; Deutsche Krebshilfe; Medical Research and Materiel Command; Agence Nationale de Sécurité Sanitaire de l’Alimentation, de l’Environnement et du Travail; Vetenskapsrådet; National Cancer Institute; Kuopion Yliopistollinen Sairaala; Cancer Research UK; Herlev Hospital; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; CHIST-ERA; Agence Nationale de la Recherche; Robert Bosch Stiftung; Agency for Science, Technology and Research; Canadian Institutes of Health Research; Cancerfonden; Ovarian Cancer Research Fund; Cancer Australia; National Breast Cancer Foundation; Bundesministerium für Bildung und Forschung; National Institute for Health and Care Research; National Institutes of Health; Deutsche Gesetzliche Unfallversicherung; David F. and Margaret T. Grohne Family Foundation; Ligue Contre le Cancer; Deutsches Krebsforschungszentrum; Cancer Care Ontario; Génome Québec; McGill University; Fondation de France; Sundhed og Sygdom, Det Frie Forskningsråd; Itä-Suomen Yliopisto; U.S. Department of Health and Human Services; Breast Cancer Research Foundation","keywords":"Identification (biology); Genetics; Breast cancer; Biology; Gene; Computational biology; Cancer; Evolutionary biology; Ecology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003605936,0.0007588367,0.001063465,0.001722183,0.0003537809,0.0009922548,0.0006500385,0.0005032801,0.001580055],"category_scores_gemma":[0.004490771,0.000299318,0.001745349,0.001618991,0.0006448384,0.0005280509,0.0009551821,0.0006131191,0.0001114543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002115765,"about_ca_system_score_gemma":0.0005707026,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001337043,"about_ca_topic_score_gemma":0.003158512,"domain_scores_codex":[0.9982161,0.0009887023,0.00009817452,0.0004401887,0.0001780135,0.00007885129],"domain_scores_gemma":[0.9933536,0.005494673,0.0005776725,0.0003024651,0.0001359867,0.0001356419],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001192962,0.0001093191,0.8854219,0.000442895,0.007532371,0.001335385,0.0003315739,0.006423208,0.03575919,0.001616025,0.0002776995,0.0595575],"study_design_scores_gemma":[0.0002150947,0.0008997694,0.9537321,0.00005394442,0.003956349,0.002037298,0.0002667395,0.02603452,0.003632257,0.007437968,0.001647723,0.00008615396],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9564411,0.005318116,0.03659243,0.0003801599,0.00003469355,0.00006532096,0.0003331861,0.0001266433,0.0007083896],"genre_scores_gemma":[0.9780108,0.0007779625,0.0205261,0.00009816352,0.00004231805,0.00007353917,0.0002140601,0.00002295878,0.0002341668],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003605936,"threshold_uncertainty_score":0.01907021,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03158745348028071,"score_gpt":0.3358485753010943,"score_spread":0.3042611218208136,"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."}}