{"id":"W2013915960","doi":"10.1080/13547500500087913","title":"Human nails as a biomarker of arsenic exposure from well water in Inner Mongolia: comparing atomic fluorescence spectrometry and neutron activation analysis","year":2005,"lang":"en","type":"article","venue":"Biomarkers","topic":"Arsenic contamination and mitigation","field":"Environmental Science","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Centers for Disease Control and Prevention","keywords":"Arsenic; Neutron activation analysis; Population; Environmental chemistry; Biomarker; Nail (fastener); Chemistry; Inner mongolia; Fluorescence spectrometry; Radiochemistry; Fluorescence; Medicine; Environmental health; Materials science; Metallurgy; China","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":[0.0005569591,0.0002349198,0.0001659245,0.0004371708,0.0002523445,0.0004255822,0.0001446546,0.0003340304,0.0002207193],"category_scores_gemma":[0.000624778,0.0001766205,0.0001112641,0.000319203,0.0002561241,0.0001637066,0.0002299371,0.000112472,0.00004500613],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004747862,"about_ca_system_score_gemma":0.0002745041,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02102957,"about_ca_topic_score_gemma":0.02503659,"domain_scores_codex":[0.9997174,0.0001159607,0.00001242391,0.00006138819,0.00006402475,0.00002878752],"domain_scores_gemma":[0.9997112,0.00006673269,0.00008346608,0.0000158483,0.00009134491,0.00003152121],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004801427,0.00006218284,0.9301401,0.00005564574,0.0001152869,0.0001416569,0.001350217,0.0002093222,0.05958733,0.00003678436,0.00003772497,0.007783622],"study_design_scores_gemma":[0.000006101212,0.0003168586,0.9924524,0.000004435481,0.00004212137,0.0002362287,0.000579873,0.000521623,0.005567588,0.00002157995,0.000245649,0.000005587953],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997291,0.00009995668,0.000105162,0.000004334138,4.551441e-7,0.000002285482,0.0000145132,0.000001027727,0.00004310229],"genre_scores_gemma":[0.9993864,0.00006799032,0.0003231028,0.000008936139,5.917825e-7,0.000003270614,0.0000379626,5.569677e-7,0.000171101],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02102957,"threshold_uncertainty_score":0.04181433,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009233881833791757,"score_gpt":0.2303201670029938,"score_spread":0.221086285169202,"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."}}