{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002761686,0.0005420777,0.0007718654,0.000164905,0.0006564244,0.0000474944,0.0002013151,0.0003329263,0.00001509141],"category_scores_gemma":[0.0001224555,0.0004297908,0.0002697777,0.0002754712,0.0005443314,0.00003865458,0.0001786336,0.0002625497,0.000002883443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001168625,"about_ca_system_score_gemma":0.0000854998,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001414347,"about_ca_topic_score_gemma":0.002230173,"domain_scores_codex":[0.9958683,0.0009829123,0.001078874,0.001160193,0.0001591148,0.0007506164],"domain_scores_gemma":[0.9981889,0.0003446925,0.0003976898,0.0005306448,0.0001023134,0.0004357649],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001848507,0.0001517431,0.06496093,0.0007946155,0.001681967,0.00001204154,0.0003832383,0.0002736862,0.9237438,0.0000418583,0.00149012,0.00461743],"study_design_scores_gemma":[0.01552518,0.00174694,0.3648584,0.005200748,0.01185241,0.01057651,0.001884315,0.004605721,0.5695297,0.001706481,0.006881988,0.005631648],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8939389,0.07546994,0.02642694,0.002215251,0.0002922193,0.001147812,0.0004441952,0.00003201957,0.00003271393],"genre_scores_gemma":[0.9782299,0.01519811,0.002403303,0.002770799,0.0002976914,0.0003957854,0.0002904121,0.00006452023,0.0003494556],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3542142,"threshold_uncertainty_score":0.9998154,"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."}}