{"id":"W2036506482","doi":"10.1088/0031-9155/52/19/n04","title":"A rapid, high sensitivity technique for measuring arsenic in skin phantoms using a portable x-ray tube and detector","year":2007,"lang":"en","type":"article","venue":"Physics in Medicine and Biology","topic":"Arsenic contamination and mitigation","field":"Environmental Science","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Allison University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Arsenic; Detection limit; Materials science; Imaging phantom; Detector; Tube (container); X-ray tube; Sensitivity (control systems); X-ray; X-ray detector; Optics; Nuclear medicine; Physics; Chemistry; Medicine; Chromatography; Composite material","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":[],"consensus_categories":[],"category_scores_codex":[0.001018199,0.00007679016,0.000159179,0.00004980126,0.00003745601,0.000001873023,0.00002263549,0.0000583047,0.00001365827],"category_scores_gemma":[0.00006941889,0.00006371371,0.00001040384,0.0001409816,0.0001753353,0.0000611857,0.00003688418,0.00008267987,3.557162e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005753549,"about_ca_system_score_gemma":0.000005428034,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007895295,"about_ca_topic_score_gemma":0.001263859,"domain_scores_codex":[0.9993854,0.00004591771,0.0001597617,0.000193169,0.00004506368,0.0001706988],"domain_scores_gemma":[0.999684,0.0001675673,0.00005097787,0.0000570349,0.000006814816,0.00003358282],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00002696678,0.00002776252,0.03013541,0.00001243479,0.000003200388,0.000005319973,0.0004982566,0.0000184058,0.8229086,0.0004016789,0.00000482244,0.1459572],"study_design_scores_gemma":[0.007302525,0.0008620378,0.6099951,0.0003366667,0.00006667998,0.0001072944,0.00222701,0.03658224,0.3099143,0.02959288,0.002207948,0.0008053796],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9292828,0.00006434131,0.07005376,0.0001110613,0.00004028719,0.0002853831,0.000001568973,0.000007073425,0.0001537609],"genre_scores_gemma":[0.9975948,0.00004435302,0.002101446,0.0001647463,0.00006473063,0.00001233266,0.000005474882,0.000004485295,0.000007637504],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5798597,"threshold_uncertainty_score":0.259817,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1080443353125384,"score_gpt":0.331781895232168,"score_spread":0.2237375599196296,"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."}}