{"id":"W2951320675","doi":"10.1093/ije/dyz124","title":"The genetic interplay between body mass index, breast size and breast cancer risk: a Mendelian randomization analysis","year":2019,"lang":"en","type":"article","venue":"International Journal of Epidemiology","topic":"Cancer Risks and Factors","field":"Medicine","cited_by":66,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Research Foundation Singapore; Cancer Research UK; Horizon 2020 Framework Programme; National Cancer Institute; National Research Foundation; European Commission; Canadian Institutes of Health Research; National Institute for Health and Care Research; Genome Canada; National Institutes of Health; Government of Canada; National Institute on Handicapped Research","keywords":"Mendelian randomization; Breast cancer; Body mass index; Medicine; Oncology; Mendelian inheritance; Randomization; Internal medicine; Cancer; Genetics; Clinical trial; Biology; Genotype; Genetic variants; Gene","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":[],"consensus_categories":[],"category_scores_codex":[0.001516802,0.0001377534,0.0006904707,0.0002567178,0.00004977097,0.00002222118,0.0002308304,0.0001215463,0.0004150367],"category_scores_gemma":[0.0007399006,0.00008226202,0.0003086027,0.00016984,0.0001201748,0.00008730811,0.0000447164,0.0004493866,0.000005353356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001801266,"about_ca_system_score_gemma":0.0001128784,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001022432,"about_ca_topic_score_gemma":0.0001044477,"domain_scores_codex":[0.9980494,0.0003884174,0.0009053501,0.0001875449,0.0002580988,0.0002111582],"domain_scores_gemma":[0.9956429,0.002582944,0.0009924797,0.0001499312,0.000497609,0.0001341435],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001654397,0.0000134972,0.9733791,0.000003787035,0.003580293,0.00001436391,0.00004593074,0.0008086322,0.000146489,0.00003267374,0.0007137523,0.01960704],"study_design_scores_gemma":[0.003608907,0.0000953096,0.9876485,0.00005035255,0.000887871,0.0005509019,0.00004871135,0.003252036,0.00001194039,0.0007928941,0.00297483,0.00007777524],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.947523,0.0008407255,0.008059981,0.04244772,0.000736713,0.000154811,0.0001565858,0.000006837526,0.00007363637],"genre_scores_gemma":[0.9938252,0.002443097,0.0003201735,0.00227062,0.000991603,0.000004572833,0.00001099482,0.00001195202,0.0001217785],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04630222,"threshold_uncertainty_score":0.454436,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01220099821738563,"score_gpt":0.35155231191591,"score_spread":0.3393513136985244,"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."}}