{"id":"W2104040040","doi":"10.1038/jes.2008.14","title":"Biomarkers of selenium status in the amazonian context: Blood, urine and sequential hair segments","year":2008,"lang":"en","type":"article","venue":"Journal of Exposure Science & Environmental Epidemiology","topic":"Selenium in Biological Systems","field":"Nursing","cited_by":42,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal","funders":"International Development Research Centre","keywords":"Selenium; Urine; Hair analysis; Context (archaeology); Animal science; Geometric mean; Amazonian; Riparian zone; Amazon rainforest; Chemistry; Biology; Medicine; Ecology; Endocrinology; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00541194,0.0002023414,0.0006576126,0.0002121381,0.0002166502,0.00000881887,0.0006120817,0.0001557421,0.00004807358],"category_scores_gemma":[0.0009365713,0.000124498,0.0001352982,0.0002801463,0.003264505,0.0002725667,0.00012169,0.0003930363,0.000004338993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002016781,"about_ca_system_score_gemma":0.00004458233,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001971125,"about_ca_topic_score_gemma":0.00001617753,"domain_scores_codex":[0.9960493,0.001189599,0.001339685,0.0003476778,0.00043879,0.000634965],"domain_scores_gemma":[0.9975984,0.0008868896,0.001039735,0.0002506558,0.00002274968,0.0002016166],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002000547,0.0001647259,0.7004582,0.000006045142,0.00002093967,0.00001910178,0.0006915802,0.00005288295,0.2974546,0.00002349164,0.00009666344,0.0008117206],"study_design_scores_gemma":[0.001414559,0.00192214,0.9749302,0.00003461515,0.00003425122,0.002074369,0.00121664,0.00004573388,0.0172074,0.0001992863,0.0007802948,0.0001404666],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959328,0.002140724,0.00003006493,0.0008433721,0.0007276398,0.0002315742,0.00001216965,0.000005117103,0.00007658829],"genre_scores_gemma":[0.9978399,0.0003533931,0.0009166191,0.0007233237,0.0001465996,0.00000310435,0.000002225114,0.000008682738,0.000006193225],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2802472,"threshold_uncertainty_score":0.9994481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03661877541322311,"score_gpt":0.2871517012826496,"score_spread":0.2505329258694264,"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."}}