{"id":"W2909623911","doi":"10.1103/physrevc.99.065501","title":"Multisite event discrimination for the majorana demonstrator","year":2019,"lang":"en","type":"article","venue":"Physical review. C","topic":"Neutrino Physics Research","field":"Physics and Astronomy","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Pacific Northwest National Laboratory; Oak Ridge National Laboratory; Nuclear Physics; Los Alamos National Laboratory; Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation; Laboratory Directed Research and Development; U.S. Department of Energy; Office of Science; Russian Foundation for Basic Research; National Science Foundation","keywords":"MAJORANA; Double beta decay; Detector; Semiconductor detector; Calibration; Event (particle physics); Physics; Energy (signal processing); Position (finance); Waveform; Nuclear physics; Neutrino; Pulse (music); Particle physics; Optics; Astrophysics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008322317,0.0003118264,0.0002809,0.0008076282,0.0004763842,0.0009642945,0.0007503404,0.000692063,0.005930462],"category_scores_gemma":[0.002236989,0.0003597348,0.0004050253,0.0004977185,0.000162255,0.0005886654,0.0009026784,0.0006895728,0.001127903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003384665,"about_ca_system_score_gemma":0.0004138675,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006441735,"about_ca_topic_score_gemma":0.002275416,"domain_scores_codex":[0.99967,0.00004873944,0.0000160518,0.00008237313,0.0001329302,0.00004993944],"domain_scores_gemma":[0.9982673,0.0007959111,0.0001815349,0.0003259747,0.0003216876,0.0001076525],"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":[0.006637891,0.0004194594,0.04103431,0.0003665728,0.0002132429,0.001819941,0.0005179371,0.01708737,0.3977658,0.04059257,0.006918134,0.4866267],"study_design_scores_gemma":[0.0003472823,0.001784272,0.08402047,0.0000844379,0.0001942682,0.005634672,0.0002947852,0.3271243,0.5080521,0.0179623,0.05427662,0.0002244067],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5479011,0.0003127172,0.4155502,0.0004872512,0.000156862,0.0001685859,0.001180633,0.003512805,0.03072972],"genre_scores_gemma":[0.8239174,0.0000770346,0.1648063,0.0001327208,0.00003463663,0.00007781826,0.001492669,0.0004820613,0.00897935],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005930462,"threshold_uncertainty_score":0.01983935,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01947564485785804,"score_gpt":0.3850146289938159,"score_spread":0.3655389841359579,"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."}}