{"id":"W1974350874","doi":"10.1017/s1431927607072650","title":"A General X-ray Fluorescence Correction for Electron Microanalysis by Monte Carlo Simulations","year":2007,"lang":"en","type":"article","venue":"Microscopy and Microanalysis","topic":"Electron and X-Ray Spectroscopy Techniques","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Monte Carlo method; Electron probe microanalysis; Microanalysis; X-ray fluorescence; Statistical physics; Materials science; Computational physics; Fluorescence; Analytical Chemistry (journal); Physics; Chemistry; Optics; Scanning electron microscope; Chromatography; Mathematics; Statistics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008796065,0.0004229806,0.0006252029,0.0004260105,0.0006708071,0.0002653662,0.0003353123,0.0002209105,0.0001499613],"category_scores_gemma":[0.00006298905,0.0004114117,0.0003186928,0.0007966391,0.0001948956,0.0002835325,0.00006259363,0.0002346538,0.00001506388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002657077,"about_ca_system_score_gemma":0.00007039796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001128505,"about_ca_topic_score_gemma":0.001272489,"domain_scores_codex":[0.9970943,0.00008940949,0.0006802886,0.0009136409,0.0002344276,0.0009879537],"domain_scores_gemma":[0.998639,0.0001638777,0.0002904898,0.0004726134,0.0002349359,0.0001991037],"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":[0.0001821773,0.0001157418,0.001119653,0.00001722408,0.0001200581,0.000001564759,0.0001850581,0.0001141964,0.9860303,0.00003804616,0.01099401,0.001081964],"study_design_scores_gemma":[0.0004352119,0.0002248198,0.0002154201,0.0000180815,0.0005723415,0.000008338002,0.00006688714,0.003502424,0.9822875,0.00007803663,0.01213968,0.0004512369],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8780901,0.002557494,0.1180469,0.0001870681,0.000196175,0.0004594887,0.0001577064,0.000226477,0.00007866065],"genre_scores_gemma":[0.958114,0.000331622,0.03575734,0.0003774449,0.000159108,0.0000472018,0.0001384916,0.00005577805,0.005019014],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08228954,"threshold_uncertainty_score":0.9998338,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006877702256261333,"score_gpt":0.2837025377613576,"score_spread":0.2768248355050962,"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."}}