{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01886579,0.0008465843,0.0007619453,0.0005775691,0.0004210845,0.0006169328,0.0009849562,0.0009944182,0.001702573],"category_scores_gemma":[0.05302124,0.0005536859,0.001176623,0.0007277449,0.0007708043,0.000410499,0.0004152079,0.0007321848,0.0002086379],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000342896,"about_ca_system_score_gemma":0.0005616112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002194266,"about_ca_topic_score_gemma":0.001139732,"domain_scores_codex":[0.9743313,0.02172065,0.0007140344,0.001700529,0.001291652,0.0002417011],"domain_scores_gemma":[0.9684613,0.02001856,0.004339553,0.006069263,0.0007775053,0.0003338636],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.03267781,0.001394609,0.9011881,0.0003102341,0.009014991,0.002112003,0.00116411,0.005815156,0.007931286,0.007399133,0.001864665,0.02912796],"study_design_scores_gemma":[0.01691709,0.0312618,0.7420654,0.0003870788,0.01384506,0.01330341,0.0008237231,0.14362,0.007741207,0.02105452,0.008536265,0.0004444454],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9784158,0.0004262444,0.01963541,0.0002267866,0.00005269073,0.0002284306,0.0002853355,0.00006402248,0.0006653299],"genre_scores_gemma":[0.9929209,0.00008341311,0.006391046,0.0001276694,0.00002530812,0.0001330435,0.0001282505,0.0000154451,0.0001747788],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01886579,"threshold_uncertainty_score":0.09977305,"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."}}