{"id":"W2806022836","doi":"10.1016/j.ijheh.2018.05.015","title":"Maternal and cord blood manganese (Mn) levels and birth weight: The MIREC birth cohort study","year":2018,"lang":"en","type":"article","venue":"International Journal of Hygiene and Environmental Health","topic":"Heavy Metal Exposure and Toxicity","field":"Environmental Science","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke; Université de Montréal; Université Laval; Centre hospitalier de l'Université Laval; McGill University; McGill University Health Centre; Health Canada; Izaak Walton Killam Health Centre; Dalhousie University","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Cord blood; Obstetrics; Pregnancy; Birth weight; Small for gestational age; Odds ratio; Gestational age; Population; Umbilical cord; Fetus; Low birth weight; Physiology; Internal medicine; Immunology; Environmental health","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0008432199,0.0001617049,0.0002256074,0.00005875433,0.0002323643,0.00006449686,0.0002419021,0.00003571224,0.0004615032],"category_scores_gemma":[0.00001253399,0.0001067699,0.00003759794,0.00004748423,0.000473239,0.0002967134,0.0002809615,0.0001819705,0.00002363384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009242209,"about_ca_system_score_gemma":0.0000152661,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007389875,"about_ca_topic_score_gemma":0.0003321091,"domain_scores_codex":[0.9983468,0.0001332132,0.0004448442,0.0002417989,0.0006123807,0.0002209723],"domain_scores_gemma":[0.9993117,0.00005153705,0.0002742643,0.0001206781,0.000008512863,0.0002333471],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001222323,0.0002328407,0.9665338,0.000004495616,0.0001001666,0.00005943748,0.0006933113,0.000001605908,0.001012078,0.0000134602,0.0001120957,0.03111449],"study_design_scores_gemma":[0.0008926751,0.001461747,0.9884414,0.00001756057,0.00002503406,0.001102523,0.00036659,0.00005313952,0.001266023,0.0001713165,0.006095641,0.0001063413],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978409,0.0004230235,0.00004287421,0.0009638127,0.0002887323,0.0002071106,0.00004794221,0.000005253089,0.0001803226],"genre_scores_gemma":[0.9974603,0.0009045279,0.0002509067,0.0007903159,0.0002332412,0.000003293696,0.000001651059,0.00001267234,0.0003430561],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03100815,"threshold_uncertainty_score":0.5053136,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01304533200245481,"score_gpt":0.2677328265737863,"score_spread":0.2546874945713314,"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."}}