{"id":"W2171117021","doi":"10.1186/1476-069x-13-77","title":"Maternal iron metabolism gene variants modify umbilical cord blood lead levels by gene-environment interaction: a birth cohort study","year":2014,"lang":"en","type":"article","venue":"Environmental Health","topic":"Heavy Metal Exposure and Toxicity","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; University of Toronto","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; Agency for Toxic Substances and Disease Registry; National Institute of Environmental Health Sciences; Centers for Disease Control and Prevention; U.S. Environmental Protection Agency","keywords":"Confounding; Medicine; Umbilical cord; Transplacental; Physiology; Cord blood; Pregnancy; Fetus; Biology; Internal medicine; Genetics; Placenta; Immunology","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001444122,0.0005972208,0.0007593549,0.00006009903,0.0005218958,0.00006898192,0.0005394336,0.0001748463,0.006347876],"category_scores_gemma":[0.00001491648,0.0005690131,0.0001704961,0.0001245208,0.0003380874,0.0004372752,0.0005643073,0.0005695249,0.003483946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007914376,"about_ca_system_score_gemma":0.000019255,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002240105,"about_ca_topic_score_gemma":0.0001046258,"domain_scores_codex":[0.994406,0.000836199,0.0009944647,0.001390465,0.001330083,0.001042754],"domain_scores_gemma":[0.9978464,0.00006989983,0.0003684355,0.0009497516,0.000001409776,0.000764107],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002265384,0.00548621,0.8750433,0.00002493633,0.000156951,0.00003956087,0.0006171577,0.0006036331,0.08701064,0.00001440003,0.0008989399,0.02987774],"study_design_scores_gemma":[0.001756376,0.001510508,0.9685955,0.000007310288,0.00008469767,0.0001216418,0.0001136958,0.0006968161,0.01527014,0.00005734306,0.01121996,0.0005660334],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942494,0.0001704455,0.002288966,0.0002990083,0.0004242586,0.001486435,0.000220407,0.00008788052,0.0007731873],"genre_scores_gemma":[0.9942077,0.0002269643,0.001818412,0.001353916,0.0002273865,0.0001565139,0.00007226488,0.00008597,0.001850911],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09355219,"threshold_uncertainty_score":0.9996761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01698776958352376,"score_gpt":0.2628845196751465,"score_spread":0.2458967500916228,"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."}}