{"id":"W3047739951","doi":"10.1002/ijc.33246","title":"Genetically predicted circulating concentrations of micronutrients and risk of breast cancer: A Mendelian randomization study","year":2020,"lang":"en","type":"article","venue":"International Journal of Cancer","topic":"Nutrition, Genetics, and Disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research; State Scholarships Foundation; National Cancer Institute; National Institutes of Health; Cancer Research UK; Government of Canada; European Commission; World Cancer Research Fund International; World Health Organization","keywords":"Mendelian randomization; Breast cancer; Micronutrient; Medicine; Mendelian inheritance; Randomization; Risk assessment; Biology; Oncology; Cancer; Internal medicine; Genetics; Physiology; Gene; Clinical trial; Pathology; Genotype; Genetic variants","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":[0.00008723646,0.00007086732,0.0001490718,0.00004131065,0.00002074328,0.00001194533,0.0001304038,0.00003525944,0.00004202473],"category_scores_gemma":[0.00008964898,0.00006636205,0.00006950463,0.0000528589,0.00006145925,0.000007765312,0.00003323341,0.00004660085,4.882134e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001621679,"about_ca_system_score_gemma":0.0001837875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000608876,"about_ca_topic_score_gemma":0.00003300359,"domain_scores_codex":[0.9990717,0.00006540063,0.0004351537,0.0001100644,0.0002551947,0.00006250902],"domain_scores_gemma":[0.9983974,0.00001291486,0.0004646655,0.00005189518,0.0009794851,0.00009360917],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002542962,0.0002742767,0.6809227,0.00002565806,0.0009604478,0.000003129963,0.0004480438,0.003519733,0.3076806,0.00001032627,0.0002811936,0.003330897],"study_design_scores_gemma":[0.03692924,0.001051874,0.7864897,0.0002581501,0.001082063,0.00003985336,0.0009538225,0.003333437,0.1680783,0.0001878618,0.001307734,0.0002879956],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928085,0.002787445,0.00301335,0.0004210803,0.0001824733,0.0001517846,0.0006192764,0.000001369152,0.00001473145],"genre_scores_gemma":[0.9942146,0.00498924,0.0002536527,0.00009810147,0.0004076222,0.000006152959,0.00002006022,0.000007531282,0.000003068083],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1396023,"threshold_uncertainty_score":0.2706166,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007395051723451086,"score_gpt":0.2784325305605982,"score_spread":0.2710374788371472,"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."}}