{"id":"W2161131703","doi":"10.1158/1055-9965.epi-06-0776","title":"A Systematic Approach to Analysing Gene-Gene Interactions: Polymorphisms at the Microsomal Epoxide Hydrolase <i>EPHX</i> and Glutathione <i>S</i>-transferase <i>GSTM1, GSTT1</i>, and <i>GSTP1</i> Loci and Breast Cancer Risk","year":2007,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Glutathione Transferases and Polymorphisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Cancer Care Ontario; National Health and Medical Research Council; National Cancer Institute; National Institutes of Health; Huntsman Cancer Institute; Medical Research Council","keywords":"GSTP1; Genotype; Microsomal epoxide hydrolase; Odds ratio; Confidence interval; Confounding; Logistic regression; Genetics; Biology; Glutathione S-transferase; Population; Oncology; Internal medicine; Gene; Bioinformatics; Medicine; Glutathione; Epoxide hydrolase; Enzyme; Biochemistry","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":[],"consensus_categories":[],"category_scores_codex":[0.02757977,0.001032026,0.00265047,0.003505005,0.000862291,0.001053156,0.001147342,0.0007694305,0.0008174311],"category_scores_gemma":[0.05315654,0.0006420733,0.003200534,0.004094777,0.001457101,0.000568373,0.001751416,0.0007080754,0.0002284126],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005549245,"about_ca_system_score_gemma":0.00418998,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005528009,"about_ca_topic_score_gemma":0.01312047,"domain_scores_codex":[0.9581294,0.03458031,0.002430091,0.002542585,0.002109653,0.0002079191],"domain_scores_gemma":[0.9595611,0.02714709,0.004094001,0.004934571,0.003946015,0.0003171579],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001159795,0.000308647,0.7696906,0.007182314,0.02778409,0.001511423,0.003612483,0.006069132,0.02233566,0.004271836,0.001785367,0.1542887],"study_design_scores_gemma":[0.0009182868,0.004925086,0.896745,0.001965476,0.02894721,0.00315752,0.002492698,0.02330819,0.01398503,0.0121254,0.01115458,0.0002754624],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5366778,0.01441774,0.4394645,0.001064382,0.0001560836,0.003502547,0.002055547,0.0004588736,0.0022025],"genre_scores_gemma":[0.7750737,0.003608683,0.2146196,0.0008178983,0.00007961234,0.003916042,0.000893267,0.0000859358,0.0009052274],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02757977,"threshold_uncertainty_score":0.1458575,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01359675845653934,"score_gpt":0.2874118846875641,"score_spread":0.2738151262310248,"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."}}