{"id":"W2555944143","doi":"10.1016/j.apradiso.2016.11.015","title":"Assessing arsenic and selenium in a single nail clipping using portable X-ray fluorescence","year":2016,"lang":"en","type":"article","venue":"Applied Radiation and Isotopes","topic":"X-ray Spectroscopy and Fluorescence Analysis","field":"Physics and Astronomy","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"Mount Allison University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Selenium; Arsenic; Clipping (morphology); Calibration curve; Calibration; Nail (fastener); Chemistry; Analytical Chemistry (journal); Monochromatic color; Detection limit; Materials science; Optics; Physics; Environmental chemistry; Chromatography; Metallurgy","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":[0.0001750534,0.0001438356,0.0002134948,0.0001242124,0.0001611059,0.000167567,0.00005952731,0.00004376379,0.00009483191],"category_scores_gemma":[0.000006045197,0.0001134596,0.00003186843,0.0002283072,0.00007074916,0.0005036544,0.00003082856,0.00008414454,0.000006865434],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003255131,"about_ca_system_score_gemma":0.00003433941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001725631,"about_ca_topic_score_gemma":0.00001089115,"domain_scores_codex":[0.9990426,0.00002617988,0.0002449134,0.0003176599,0.0001048841,0.000263796],"domain_scores_gemma":[0.9996086,0.00006057441,0.0001166528,0.0001238465,0.00001858283,0.00007175175],"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":[0.00001621443,0.00008822451,0.1724465,0.00001368706,0.00004325079,0.000001082484,0.0004378079,0.00005384559,0.6485651,0.01002699,0.00003238239,0.1682748],"study_design_scores_gemma":[0.008548879,0.0001973638,0.5960448,0.000755607,0.0004689277,0.000008833916,0.009120675,0.04636791,0.3127922,0.01432485,0.00846264,0.002907303],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9864891,0.0001749374,0.01109544,0.0001556975,0.00003917821,0.0001562814,0.000003659663,0.00002226643,0.001863414],"genre_scores_gemma":[0.9971607,0.00005460808,0.002509927,0.00005941702,0.0001236204,0.00001343541,0.000005859796,0.00001233917,0.00006014493],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4235983,"threshold_uncertainty_score":0.4626748,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01438231768343803,"score_gpt":0.2574396369127579,"score_spread":0.2430573192293199,"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."}}