{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007050594,0.00006926999,0.00006835062,0.00006334422,0.0002805408,0.0001294932,0.0001206223,0.00002586522,0.0001101381],"category_scores_gemma":[0.00002350557,0.00004602847,0.00007125417,0.0002484618,0.00006545823,0.0002273004,0.00002917071,0.00005157868,0.00006000739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004893594,"about_ca_system_score_gemma":0.00001438897,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001742493,"about_ca_topic_score_gemma":0.000005550196,"domain_scores_codex":[0.9995654,0.00001027429,0.0001154523,0.0001094471,0.0000764765,0.0001229975],"domain_scores_gemma":[0.9996015,0.0001641775,0.00004970869,0.0001455965,0.00002014143,0.00001888454],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001149536,0.00001392877,0.02146702,0.000008463399,0.00005716558,1.844698e-7,0.0004031582,0.0006465613,0.0003011028,0.8531358,0.03344055,0.09051457],"study_design_scores_gemma":[0.001057759,0.00008170345,0.1007795,0.00002043616,0.00006724262,5.196113e-7,0.01258085,0.1288486,0.04549332,0.5270512,0.1835898,0.0004290341],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.68804,0.0004206114,0.2692798,0.02908507,0.002507549,0.002061375,0.0003110218,0.002704624,0.005589978],"genre_scores_gemma":[0.9968472,0.00000140375,0.0009262584,0.00004746179,0.0001343645,0.00009779839,0.00001252591,0.000009108404,0.001923878],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3260846,"threshold_uncertainty_score":0.2157721,"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."}}