{"id":"W2129463791","doi":"10.1007/bf03404202","title":"Urinary inorganic arsenic in residents living in close proximity to a nickel and copper smelter in Ontario, Canada.","year":2012,"lang":"en","type":"article","venue":"PubMed","topic":"Arsenic contamination and mitigation","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Public Health Ontario; Institute of Population and Public Health; University of Ottawa; Health Canada","funders":"","keywords":"Arsenic; Inorganic arsenic; Mercury (programming language); Urine; Smelting; Significant difference; Environmental health; Morning; Environmental chemistry; Toxicology; Chemistry; Medicine; Biology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001086946,0.0002033521,0.0002774849,0.0004362207,0.002281726,0.000612542,0.0005047005,0.0003618627,0.001437312],"category_scores_gemma":[0.0005121007,0.0002903853,0.0002401929,0.001443815,0.0005164108,0.0002217572,0.0004256717,0.0003698143,0.0001980714],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008121005,"about_ca_system_score_gemma":0.01109004,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9906505,"about_ca_topic_score_gemma":0.9954912,"domain_scores_codex":[0.9997526,0.00001632242,0.00001353673,0.00004332944,0.00008713644,0.00008710504],"domain_scores_gemma":[0.9995999,0.0000157158,0.00007989197,0.000009269588,0.0001732348,0.0001221022],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001173136,0.00004873916,0.9929466,0.00003455369,0.00002796162,0.0003322658,0.002098089,0.00006383532,0.001027438,0.00004045993,0.0007888484,0.002473984],"study_design_scores_gemma":[0.000003724792,0.00004679447,0.9958147,0.00001396539,0.00001710684,0.0001017829,0.003250557,0.00008291422,0.00009226869,0.00001243254,0.0005580987,0.000005655971],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976346,0.0001424131,0.00005857859,0.0001092929,0.000005513221,0.00001832109,0.0008882902,0.000003995225,0.001138965],"genre_scores_gemma":[0.9971403,0.0002162302,0.00008871683,0.00005220812,0.000003029774,0.000007471799,0.0003874687,0.000001932896,0.002102802],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009349465,"threshold_uncertainty_score":0.05892223,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01114719803607252,"score_gpt":0.1929053162945336,"score_spread":0.1817581182584611,"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."}}