{"id":"W4389966096","doi":"10.1016/j.neuro.2023.12.011","title":"Synchrotron speciation of umbilical cord mercury and selenium after environmental exposure in Niigata","year":2023,"lang":"en","type":"article","venue":"NeuroToxicology","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"SLAC National Accelerator Laboratory; Natural Sciences and Engineering Research Council of Canada; Basic Energy Sciences; National Institute of General Medical Sciences; Biological and Environmental Research; Canada Research Chairs; National Institutes of Health; Office of Science; National Institute of Environmental Health Sciences; University of Rochester; Canada Foundation for Innovation; U.S. Department of Energy","keywords":"Mercury (programming language); Selenium; Umbilical cord; MERCURY EXPOSURE; Mercury poisoning; Environmental chemistry; Biology; Medicine; Chemistry; Anatomy; Biomonitoring; Toxicity; Internal medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001298939,0.0001891641,0.0002423534,0.0003414249,0.0009021849,0.0003566932,0.0003561292,0.0003150318,0.0008489754],"category_scores_gemma":[0.0002475848,0.0001722816,0.0001900931,0.0003096823,0.000443759,0.0001359209,0.0004482201,0.0003560386,0.0002121117],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007455102,"about_ca_system_score_gemma":0.0007134376,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1134143,"about_ca_topic_score_gemma":0.1569272,"domain_scores_codex":[0.9999115,0.00001386014,0.000005508587,0.00002627627,0.00002036238,0.00002238713],"domain_scores_gemma":[0.9998819,0.00001194978,0.00002319169,0.00001167558,0.00005203822,0.00001920049],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002462256,0.0003343493,0.7868158,0.00007590916,0.000112902,0.00323233,0.005632653,0.0001817085,0.1829357,0.0001784731,0.0003358817,0.01770205],"study_design_scores_gemma":[0.00001068114,0.000624007,0.9515657,0.00001178941,0.0001050681,0.001833889,0.006874162,0.0003269517,0.03684247,0.00007738511,0.001714773,0.00001319294],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993713,0.00006728177,0.00007756916,0.00001649858,0.000003412395,0.000002517285,0.00003308513,0.000002582432,0.0004256674],"genre_scores_gemma":[0.997817,0.0001256174,0.0001581071,0.00002327145,0.000001646498,0.000004125278,0.00005817206,0.000003601112,0.001808382],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1134143,"threshold_uncertainty_score":0.2255083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01371827291642293,"score_gpt":0.253357544148774,"score_spread":0.2396392712323511,"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."}}