{"id":"W2770769501","doi":"10.1016/j.scitotenv.2017.11.126","title":"Blood mercury, lead and cadmium levels and determinants of exposure among newcomer South and East Asian women of reproductive age living in Vancouver, Canada","year":2017,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Heavy Metal Exposure and Toxicity","field":"Environmental Science","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Centre for Disease Control","funders":"Health Canada; University of British Columbia; Ministry of Health, British Columbia","keywords":"Mercury (programming language); Cadmium; Lead exposure; Demography; East Asia; Gerontology; Environmental health; Geography; Medicine; Sociology; Archaeology; Chemistry; China; Internal medicine","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":[0.0002226638,0.0002471329,0.0002903338,0.000636069,0.001676817,0.0007150829,0.0006140627,0.0002653064,0.001500119],"category_scores_gemma":[0.0007250158,0.0003089301,0.0002627058,0.001546133,0.0004204806,0.0001659381,0.0004958159,0.0004898838,0.0002101883],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003993168,"about_ca_system_score_gemma":0.003757896,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9618772,"about_ca_topic_score_gemma":0.9739792,"domain_scores_codex":[0.9997131,0.00002479424,0.00001563496,0.00005941178,0.00009266665,0.00009427013],"domain_scores_gemma":[0.9993957,0.00004616108,0.000110008,0.00002031619,0.000215145,0.0002126198],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004265893,0.00002221799,0.9972773,0.00001432066,0.00001738862,0.00008114164,0.00074889,0.0000162305,0.0002064956,0.00001385266,0.0002045312,0.001355068],"study_design_scores_gemma":[0.000002844168,0.00002028047,0.9978059,0.00001286081,0.00001060437,0.00005924745,0.001751701,0.00004462595,0.00002906204,0.000005834885,0.000254169,0.00000285211],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979451,0.0002675715,0.00002765222,0.00007573784,0.000004310548,0.00001728221,0.0006350512,0.00000239418,0.001024827],"genre_scores_gemma":[0.9979349,0.0003624737,0.00007255582,0.00005082303,0.000002946025,0.00001199601,0.0003948341,0.00000203353,0.00116733],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03812277,"threshold_uncertainty_score":0.07669449,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01326015549184728,"score_gpt":0.206976232664557,"score_spread":0.1937160771727097,"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."}}