{"id":"W4366823482","doi":"10.1103/physrevc.107.045503","title":"Charge trapping correction and energy performance of the Majorana Demonstrator","year":2023,"lang":"en","type":"article","venue":"Physical review. C","topic":"Neutrino Physics Research","field":"Physics and Astronomy","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Pacific Northwest National Laboratory; Lawrence Berkeley National Laboratory; Natural Sciences and Engineering Research Council of Canada; Nuclear Physics; Los Alamos National Laboratory; Oak Ridge National Laboratory; South Dakota Board of Regents; Canada Foundation for Innovation; Laboratory Directed Research and Development; U.S. Department of Energy; Office of Science; National Science Foundation","keywords":"MAJORANA; Physics; Double beta decay; Detector; Trapping; Semiconductor detector; Energy (signal processing); Nuclear physics; Neutrino; Optics","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":[0.0001090836,0.00009797042,0.0002274543,0.00002355706,0.00009276006,0.00001071345,0.0001494519,0.000008255198,0.00002854186],"category_scores_gemma":[0.000002493651,0.00006824895,0.0001209789,0.0005911601,0.00007094301,0.0000875466,0.00008556818,0.0001381835,0.00004373058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007481748,"about_ca_system_score_gemma":0.00003382258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003379061,"about_ca_topic_score_gemma":5.564122e-7,"domain_scores_codex":[0.9992388,0.00005705975,0.0001465738,0.0001602186,0.0002065727,0.0001907385],"domain_scores_gemma":[0.9995363,0.00007761478,0.00007778656,0.0002134238,0.00004396452,0.00005095311],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002012869,0.0003393705,0.04499718,0.001318801,0.0001421983,6.007381e-7,0.0001688152,0.00002506439,0.155413,0.1851121,0.009159089,0.6033037],"study_design_scores_gemma":[0.0006860204,0.0001664604,0.04105788,0.002740427,0.0001528557,0.000001556275,0.00005832294,0.04090858,0.8853042,0.005403905,0.02294948,0.0005703383],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9807442,0.0004071992,0.00006224635,0.0002975914,0.0001396115,0.000167222,0.00001211272,0.00002518643,0.01814464],"genre_scores_gemma":[0.9985726,0.0007547573,0.000001002836,0.00004039445,0.0001988014,0.00004509041,0.000005659656,0.00001126382,0.0003704269],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7298912,"threshold_uncertainty_score":0.2783111,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01682262889480995,"score_gpt":0.3095052372838389,"score_spread":0.292682608389029,"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."}}