{"id":"W2562030261","doi":"10.1002/xrs.2729","title":"A simple method for quantitative analysis of elements by WD‐XRF using variable dilution factors in fusion bead technique for geologic specimens","year":2016,"lang":"en","type":"article","venue":"X-Ray Spectrometry","topic":"X-ray Spectroscopy and Fluorescence Analysis","field":"Physics and Astronomy","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Energy","funders":"National Research Council Canada; U.S. Geological Survey","keywords":"Calibration; Dilution; Calibration curve; Mineralogy; Isotope dilution; Analytical Chemistry (journal); Geology; Chemistry; Detection limit; Chromatography; Physics","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":[0.0008340161,0.0003006475,0.0008425738,0.001033327,0.0001523372,0.0000260384,0.0002628475,0.0001112005,0.0007659743],"category_scores_gemma":[0.0001296468,0.000227133,0.0004880158,0.002467695,0.00006624465,0.0002366016,0.00006129689,0.0001156743,0.00000188815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000216322,"about_ca_system_score_gemma":0.00006025831,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008496756,"about_ca_topic_score_gemma":0.00004749102,"domain_scores_codex":[0.9977828,0.00009792759,0.0006860354,0.0006023509,0.0002340636,0.0005968088],"domain_scores_gemma":[0.9980044,0.000919342,0.0004834846,0.000366405,0.0001489144,0.00007739777],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00007764584,0.0003667587,0.1573776,0.00001596535,0.0009095841,1.724862e-7,0.00008404147,0.0002583383,0.8307852,0.00985728,0.0001043442,0.0001630618],"study_design_scores_gemma":[0.001764836,0.00105262,0.0213679,0.00007257503,0.002650409,1.079514e-7,0.00128598,0.03391944,0.9067242,0.03010087,0.0003952817,0.0006658498],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3028235,0.00003362366,0.6953837,0.00003015632,0.00002876955,0.0006439821,0.0009479044,0.00001540432,0.0000929894],"genre_scores_gemma":[0.7744659,0.000007412737,0.2248946,0.00001085064,0.00005350089,0.0001294875,0.0003216614,0.00002233271,0.00009429628],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4716424,"threshold_uncertainty_score":0.9262213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02158149760292774,"score_gpt":0.3358596886839383,"score_spread":0.3142781910810105,"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."}}