{"id":"W142570962","doi":"10.1007/s006040050012","title":"Simulation of X-Ray Emission from Rough Surfaces","year":2000,"lang":"en","type":"article","venue":"Microchimica Acta","topic":"Advanced Materials Characterization Techniques","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Monte Carlo method; X-ray; Optics; Beam (structure); Intensity (physics); Computational physics; Absorption (acoustics); Physics; Rough surface; Position (finance); Emission spectrum; Materials science; Spectral line; Mathematics; Astronomy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002809206,0.0006162728,0.0007646238,0.0004228139,0.0005693606,0.0008275491,0.0009934731,0.001880865,0.004319246],"category_scores_gemma":[0.001651762,0.0005359292,0.0006794212,0.0005341709,0.000703838,0.000528849,0.0004919326,0.0007721106,0.0003015757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001029254,"about_ca_system_score_gemma":0.0007546677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01066667,"about_ca_topic_score_gemma":0.004252093,"domain_scores_codex":[0.999832,0.000030151,0.000004876285,0.00002090581,0.00005900741,0.00005305106],"domain_scores_gemma":[0.9989641,0.0007606159,0.00006297334,0.00004585504,0.0001087844,0.00005771247],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004632218,0.00003310908,0.0004524348,0.0000369388,0.00001184454,0.00008528391,0.00003435328,0.994823,0.002052743,0.001661294,0.0001422634,0.0006204629],"study_design_scores_gemma":[0.00001170666,0.00001337808,0.0001544789,0.000002084981,0.000002166084,0.000008161059,0.000009894254,0.9987643,0.0007287875,0.0001998663,0.0001018166,0.000003386007],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9030412,0.0003850773,0.05991326,0.0006297128,0.0001135424,0.0001390204,0.0008228161,0.0007085799,0.03424682],"genre_scores_gemma":[0.9865721,0.0001498429,0.008969854,0.00006174934,0.00001340871,0.00007933303,0.0002873226,0.0000863835,0.003779926],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01066667,"threshold_uncertainty_score":0.02120918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007587477485850212,"score_gpt":0.2238452874922797,"score_spread":0.2162578100064295,"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."}}