{"id":"W2003958980","doi":"10.1385/bter:106:2:133","title":"Arsenic and Selenium in Human Hair: A Comparison of Five Countries With and Without Arsenicosis","year":2005,"lang":"en","type":"article","venue":"Biological Trace Element Research","topic":"Arsenic contamination and mitigation","field":"Environmental Science","cited_by":29,"is_retracted":false,"has_abstract":false,"ca_institutions":"Fisheries and Oceans Canada","funders":"","keywords":"Arsenic; Selenium; Chemistry","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":[0.0005266661,0.0005037832,0.000523353,0.002209099,0.001064003,0.001044782,0.0003056483,0.0007138393,0.00102583],"category_scores_gemma":[0.0009404822,0.0003779534,0.0006642343,0.002940042,0.00108683,0.0004431471,0.0008441013,0.0003774241,0.0001822562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004965679,"about_ca_system_score_gemma":0.0004794439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02426586,"about_ca_topic_score_gemma":0.03285993,"domain_scores_codex":[0.9994285,0.0001847855,0.00004889277,0.0001024955,0.0000858993,0.0001495063],"domain_scores_gemma":[0.9992415,0.0001667618,0.0001914474,0.00004192234,0.000223638,0.0001348369],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002670388,0.000116296,0.9861645,0.00009783751,0.0003349988,0.0005623209,0.001966668,0.0001636438,0.00393038,0.00008227894,0.0001036645,0.003807011],"study_design_scores_gemma":[0.00004166686,0.001332231,0.9907369,0.00001299574,0.00028231,0.0006286693,0.005115546,0.00007634144,0.001141955,0.0000419572,0.0005768968,0.00001245376],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993182,0.0001757706,0.00004952529,0.00001274073,0.000003588069,0.000004511499,0.0001876368,0.000001543218,0.0002465223],"genre_scores_gemma":[0.9992964,0.000202608,0.00005234537,0.00001897826,0.000003845323,0.000003524944,0.0002313607,0.000001556448,0.000189293],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02426586,"threshold_uncertainty_score":0.04824924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07167593098638433,"score_gpt":0.3788440804475587,"score_spread":0.3071681494611743,"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."}}