{"id":"W3045665456","doi":"10.1007/s00128-020-02947-1","title":"A Study on Hair Mercury Levels of University Students","year":2020,"lang":"en","type":"article","venue":"Bulletin of Environmental Contamination and Toxicology","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Fundamental Research Funds for the Central Universities","keywords":"Methylmercury; Mercury (programming language); Environmental chemistry; Fish consumption; MERCURY EXPOSURE; Toxicology; Chemistry; Significant difference; Ecotoxicology; Fish <Actinopterygii>; Animal science; Biology; Medicine; Biomonitoring; Internal medicine; Bioaccumulation; Fishery","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002932696,0.0003331428,0.0003132498,0.001219391,0.002026568,0.0007533047,0.0002085297,0.0005514352,0.002937195],"category_scores_gemma":[0.0008385098,0.0003113654,0.0003520464,0.0009140095,0.0004291569,0.0003621583,0.0005588905,0.0006417751,0.0009729359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003614653,"about_ca_system_score_gemma":0.0004858836,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006842491,"about_ca_topic_score_gemma":0.0109263,"domain_scores_codex":[0.9996576,0.00006903115,0.0000222204,0.00006170222,0.0000834581,0.0001060729],"domain_scores_gemma":[0.9992673,0.0001247257,0.00009377707,0.00003393868,0.000204418,0.0002758886],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006457085,0.002516241,0.9457847,0.00006279013,0.00005262904,0.0007062239,0.0121001,0.0000256832,0.0220857,0.00009293011,0.0002782109,0.01564918],"study_design_scores_gemma":[0.00001407089,0.002120799,0.981989,0.000005880969,0.00004090767,0.0005389951,0.01106089,0.00004234976,0.002824862,0.0000333404,0.001318745,0.00001021999],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993143,0.0000317016,0.00002919441,0.00002404033,0.000004963605,0.000008406361,0.00003757806,0.000001633221,0.0005480604],"genre_scores_gemma":[0.9967216,0.00009934455,0.00007875794,0.00005494217,0.00001030934,0.0000126908,0.00007136267,0.000002083121,0.00294892],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006842491,"threshold_uncertainty_score":0.01360536,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02653781030949983,"score_gpt":0.2556071326465854,"score_spread":0.2290693223370855,"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."}}