{"id":"W2890202245","doi":"10.1038/s41467-018-06467-9","title":"A Mendelian randomization study of the effects of blood lipids on breast cancer risk","year":2018,"lang":"en","type":"article","venue":"Nature Communications","topic":"Cancer, Lipids, and Metabolism","field":"Biochemistry, Genetics and Molecular Biology","cited_by":210,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Foundation for the Study of Diabetes; European Commission; National Cancer Institute; National Institutes of Health; Vetenskapsrådet; Cancer Research UK; Government of Canada; Canadian Institutes of Health Research; Genome Canada; Horizon 2020 Framework Programme; Eli Lilly and Company","keywords":"Mendelian randomization; Breast cancer; Medicine; Internal medicine; Oncology; Odds ratio; Cholesterol; Estrogen receptor; Cancer; Ezetimibe; Relative risk; Confidence interval; Endocrinology; Biology; Genetics; Gene; Genetic variants; Genotype","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":[0.0001484321,0.00008463914,0.0001414498,0.00003537074,0.0001454297,0.000005147758,0.0005975786,0.0001434015,0.000005079573],"category_scores_gemma":[0.0001713603,0.00005986653,0.00007566017,0.0001951873,0.0001549453,0.000002262851,0.0001975534,0.0002182397,4.629e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005820189,"about_ca_system_score_gemma":0.00006715579,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002258393,"about_ca_topic_score_gemma":0.002292933,"domain_scores_codex":[0.9992353,0.0002704239,0.0001722436,0.0001296454,0.0001142741,0.00007807706],"domain_scores_gemma":[0.997983,0.00006031518,0.0001949818,0.001479012,0.0002591963,0.00002354431],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001252259,0.004060189,0.05636057,0.00008912813,0.001487473,1.111883e-8,0.002885174,0.00008200723,0.887548,0.001678665,0.03199849,0.01255803],"study_design_scores_gemma":[0.02744928,0.001820773,0.3805165,0.0002828068,0.00256264,0.000007897078,0.0007475847,0.0001461504,0.3027876,0.0001272777,0.2830278,0.0005237276],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9868092,0.007835905,0.00002577823,0.0003953883,0.003299822,0.0007494245,0.0001239808,0.000007942207,0.0007525676],"genre_scores_gemma":[0.995242,0.00286803,0.00009275293,0.0001257239,0.001474438,0.00007140027,0.00001664348,0.00001113768,0.00009788771],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5847604,"threshold_uncertainty_score":0.2441286,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00521667899571631,"score_gpt":0.2749591614151249,"score_spread":0.2697424824194086,"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."}}