{"id":"W4323438860","doi":"10.17615/qjna-5v29","title":"Multisite event discrimination for the majorana demonstrator","year":2023,"lang":"en","type":"article","venue":"UNC Libraries","topic":"Radiation Detection and Scintillator Technologies","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Oak Ridge National Laboratory; Nuclear Physics; Los Alamos National Laboratory; Natural Sciences and Engineering Research Council of Canada; Pacific Northwest National Laboratory; National Energy Research Scientific Computing Center; Laboratory Directed Research and Development; U.S. Department of Energy; Office of Science; Russian Foundation for Basic Research; National Science Foundation","keywords":"MAJORANA; Event (particle physics); Computer science; Physics; Nuclear physics; Astrophysics; Neutrino","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006039298,0.0003406925,0.0002919,0.0007392195,0.0003628489,0.0008207615,0.0006933586,0.000578713,0.004542897],"category_scores_gemma":[0.001777838,0.0002618793,0.0003937623,0.0004909949,0.0001431196,0.0004300197,0.00079928,0.0005247259,0.0007787974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003077724,"about_ca_system_score_gemma":0.0003457325,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007614861,"about_ca_topic_score_gemma":0.002226765,"domain_scores_codex":[0.9996707,0.00003935684,0.00001905835,0.00007487258,0.0001382018,0.00005777048],"domain_scores_gemma":[0.9984714,0.0006747286,0.0001638693,0.0002483019,0.0003420598,0.00009952911],"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":[0.00605927,0.000379281,0.03601531,0.0002388742,0.0001728636,0.001240079,0.0003794317,0.01910228,0.5602264,0.007498959,0.003205474,0.3654819],"study_design_scores_gemma":[0.0001805191,0.001430925,0.06651363,0.00003367669,0.00011302,0.003434464,0.0001903968,0.2750852,0.63124,0.003203859,0.01844016,0.0001341021],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7063545,0.0001808026,0.2770956,0.0001802757,0.00006178248,0.00009976822,0.0007594926,0.003613169,0.01165459],"genre_scores_gemma":[0.8855617,0.00004060084,0.1074868,0.0000742721,0.00002090508,0.00004430745,0.00139961,0.0004142231,0.004957529],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004542897,"threshold_uncertainty_score":0.01519746,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01953328784362323,"score_gpt":0.2583622644199233,"score_spread":0.2388289765763,"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."}}