{"id":"W2613921192","doi":"10.1093/ije/dyx131","title":"Body mass index and breast cancer survival: a Mendelian randomization analysis","year":2017,"lang":"en","type":"article","venue":"International Journal of Epidemiology","topic":"Cancer Risks and Factors","field":"Medicine","cited_by":69,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; Lunenfeld-Tanenbaum Research Institute; Public Health Ontario; University of Toronto; Mount Sinai Hospital","funders":"Medical Research Council; National Institute for Health and Care Research; Wellcome Trust; Francis Crick Institute; British Heart Foundation; National Cancer Institute; Cancer Research UK","keywords":"Mendelian randomization; Body mass index; Breast cancer; Medicine; Oncology; Cancer; Randomization; Index (typography); Internal medicine; Biology; Genetics; Clinical trial; Genotype; Gene; Genetic variants","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001211752,0.00009279506,0.0006227692,0.0003193202,0.00006235768,0.00002442793,0.0002097649,0.00009935738,0.0003191062],"category_scores_gemma":[0.001202625,0.00006674938,0.0002324464,0.0000495445,0.000130307,0.000150741,0.0000368985,0.0002403889,0.000001213393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001076594,"about_ca_system_score_gemma":0.00008782245,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001428122,"about_ca_topic_score_gemma":0.0001682009,"domain_scores_codex":[0.998817,0.0001354445,0.0005801616,0.0001352926,0.0001966139,0.0001355179],"domain_scores_gemma":[0.9978337,0.0003625627,0.0009875271,0.0001584138,0.0005404432,0.0001173772],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00161734,0.00002045236,0.985069,0.000003756033,0.002506934,0.00006355911,0.00002503633,0.0002990071,0.00027264,0.0003038039,0.001448687,0.008369726],"study_design_scores_gemma":[0.004432934,0.00004940625,0.9833287,0.00003949193,0.000571872,0.0002458988,0.00002081222,0.004131413,0.00002262235,0.001161082,0.005933716,0.00006203897],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6953578,0.0008856981,0.03858578,0.2616702,0.002483316,0.0001449547,0.0001047336,0.00001194005,0.0007556209],"genre_scores_gemma":[0.9928582,0.001757875,0.0003440602,0.003914668,0.001001855,0.000002549397,0.000009929056,0.000007571349,0.0001033013],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2975004,"threshold_uncertainty_score":0.3493989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06366387860283566,"score_gpt":0.4263082136759334,"score_spread":0.3626443350730977,"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."}}