{"id":"W2048246865","doi":"10.1103/physrevb.87.165136","title":"Variational approach for calculating Auger electron spectra: Going beyond the impurity approximation","year":2013,"lang":"en","type":"article","venue":"Physical Review B","topic":"Copper-based nanomaterials and applications","field":"Materials Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Eigenvalues and eigenvectors; Impurity; Propagator; Variational method; Spectral line; Ion; Electron; Auger electron spectroscopy; Physics; Auger; Quantum mechanics; Atomic 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":[0.0004733998,0.0001340424,0.000249732,0.00001046863,0.0002691674,0.0001187182,0.0002123309,0.00002149821,0.0001561195],"category_scores_gemma":[0.0001174538,0.00008522767,0.0001254073,0.0001592157,0.00004137772,0.0001567002,0.00004318016,0.0000666506,0.0001804967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005028148,"about_ca_system_score_gemma":0.00004510003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003330968,"about_ca_topic_score_gemma":8.879298e-7,"domain_scores_codex":[0.9988703,0.00008442043,0.0002852023,0.0002880348,0.0002075835,0.0002644947],"domain_scores_gemma":[0.9991941,0.000219672,0.0001656356,0.0002758467,0.00009403396,0.00005074298],"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":[0.000003244943,0.0001547548,0.000008438407,0.0004651802,0.000005960676,2.008513e-8,0.00005352401,0.00005143226,0.896244,0.09751276,0.001651205,0.003849481],"study_design_scores_gemma":[0.0009785522,0.0002274043,0.003755389,0.0005145878,0.0003567605,0.00001250413,0.00003440202,0.261026,0.4985178,0.2194207,0.01402544,0.001130452],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8338084,0.003333776,0.1456497,0.006251404,0.0001653714,0.006296533,0.00008536406,0.0001970584,0.004212435],"genre_scores_gemma":[0.9797082,0.0001345591,0.0162031,0.000780309,0.0006794698,0.002320635,0.0001112778,0.00001926065,0.00004322302],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3977261,"threshold_uncertainty_score":0.3475483,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01531205335784791,"score_gpt":0.2913816346904913,"score_spread":0.2760695813326434,"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."}}