{"id":"W1563720373","doi":"10.1002/xrs.2583","title":"Choice of X‐ray mass attenuation coefficients for PIXE analysis of silicate minerals and rocks","year":2015,"lang":"en","type":"article","venue":"X-Ray Spectrometry","topic":"X-ray Spectroscopy and Fluorescence Analysis","field":"Physics and Astronomy","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Space Agency","keywords":"Attenuation; Silicate; Analytical Chemistry (journal); Mass attenuation coefficient; Range (aeronautics); Attenuation coefficient; Computation; Mineralogy; Computational physics; Materials science; Photon; Atomic physics; Chemistry; Physics; Optics; Mathematics; Composite material; Algorithm","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":[0.0003892969,0.000200622,0.000679824,0.0007408559,0.00005705991,0.00003061737,0.0002248607,0.00006365599,0.000104084],"category_scores_gemma":[0.00010086,0.0001865922,0.0003228433,0.002156085,0.0001002772,0.0001484219,0.00003887775,0.0001061349,0.000005205207],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003730537,"about_ca_system_score_gemma":0.00004390613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000377231,"about_ca_topic_score_gemma":0.00001491179,"domain_scores_codex":[0.9984443,0.00003393456,0.0004913946,0.0003874724,0.0003387283,0.0003042011],"domain_scores_gemma":[0.9985752,0.0002479416,0.0003984733,0.0004006857,0.0002601298,0.0001175329],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006876237,0.0004911343,0.7043644,0.00003799654,0.00205381,2.843006e-7,0.00029468,0.007236674,0.281965,0.00201164,0.0004125318,0.001063085],"study_design_scores_gemma":[0.00685592,0.001970817,0.3826887,0.0001119701,0.01720821,3.774628e-7,0.00424186,0.21638,0.3587472,0.007690446,0.002333974,0.001770469],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8040252,0.0001222412,0.1941183,0.0001017028,0.00004847093,0.0002194765,0.0001885693,0.00001410625,0.001161879],"genre_scores_gemma":[0.9956679,0.000005909361,0.003448574,0.00002505762,0.000182157,0.00002172305,0.000188018,0.00001683173,0.0004438068],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3216757,"threshold_uncertainty_score":0.7609009,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02249070604751521,"score_gpt":0.2966564366455699,"score_spread":0.2741657305980547,"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."}}