{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001895074,0.0001448925,0.0002716386,0.000014689,0.0000974881,0.00003845064,0.0002964452,0.000008987491,0.0001372299],"category_scores_gemma":[0.000004777805,0.0000923305,0.0003126203,0.000173958,0.0000374539,0.00013661,0.00007443882,0.0001690566,0.0006003852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002169819,"about_ca_system_score_gemma":0.00002793273,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000435681,"about_ca_topic_score_gemma":0.000001743316,"domain_scores_codex":[0.998956,0.00005466996,0.0001814082,0.0002538079,0.0002801229,0.0002739615],"domain_scores_gemma":[0.998928,0.0004020177,0.00008926037,0.0004081775,0.0001011754,0.00007141037],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002377552,0.0005491975,0.008865699,0.0008820143,0.000153884,2.629424e-7,0.00009546586,0.00004372434,0.02189878,0.6801776,0.003410512,0.2838991],"study_design_scores_gemma":[0.006409001,0.0008600866,0.05516841,0.004545506,0.001515684,0.000001842263,0.0005206601,0.08641262,0.3549283,0.2146662,0.2721717,0.002799993],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8209639,0.008513683,0.07845201,0.009591728,0.000843338,0.01649817,0.0004672566,0.0001383003,0.06453162],"genre_scores_gemma":[0.9984706,0.0001249884,0.00004379555,0.0001411287,0.0004536063,0.0003623394,0.00003565951,0.00002190942,0.0003459777],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4655114,"threshold_uncertainty_score":0.7716938,"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."}}