{"id":"W2904602784","doi":"10.1016/j.envres.2018.12.044","title":"Monitoring of prenatal exposure to organic and inorganic contaminants using meconium from an Eastern Canada cohort","year":2018,"lang":"en","type":"article","venue":"Environmental Research","topic":"Prenatal Substance Exposure Effects","field":"Medicine","cited_by":27,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Sherbrooke","funders":"National Institute of Environmental Health Sciences; Natural Sciences and Engineering Research Council of Canada; National Institutes of Health","keywords":"Meconium; Chemistry; Environmental chemistry; Contamination; In utero; Cohort; Chromatography; Pregnancy; Medicine; Internal medicine; Biology; Fetus","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006016641,0.0005443533,0.0004079647,0.001398622,0.003248044,0.001423901,0.001446009,0.0006220331,0.001170262],"category_scores_gemma":[0.00160344,0.0005799239,0.0004540049,0.002665552,0.00057947,0.0003948635,0.0009185187,0.0006470821,0.0002565141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01567651,"about_ca_system_score_gemma":0.01540301,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9917741,"about_ca_topic_score_gemma":0.9923853,"domain_scores_codex":[0.9989215,0.00008126487,0.00005988114,0.0002576432,0.0003570982,0.0003225935],"domain_scores_gemma":[0.998148,0.00008915448,0.0001952669,0.00008783692,0.001092212,0.0003876618],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006049772,0.00003488275,0.9941637,0.00001324643,0.00004476437,0.0002154579,0.001479965,0.00006426213,0.0009825353,0.00005849125,0.0003120665,0.002570102],"study_design_scores_gemma":[0.000004518075,0.00003258674,0.9968978,0.00001460496,0.00003443511,0.0001180233,0.00169999,0.0001739433,0.000231186,0.00001613344,0.0007686468,0.000008094999],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967405,0.0002868348,0.000197042,0.0001150559,0.000008033232,0.00003907522,0.001461847,0.000008648296,0.00114297],"genre_scores_gemma":[0.9960111,0.0003503318,0.0003741376,0.00008503407,0.000003382962,0.0000231062,0.0007536272,0.000008081376,0.002391303],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01567651,"threshold_uncertainty_score":0.1137416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02586509875555938,"score_gpt":0.307146202698254,"score_spread":0.2812811039426947,"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."}}