{"id":"W4308161913","doi":"10.48550/arxiv.2211.01166","title":"Identification and reconstruction of low-energy electrons in the ProtoDUNE-SP detector","year":2022,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Neutrino Physics Research","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Horizon 2020 Framework Programme; Institut National de Physique Nucléaire et de Physique des Particules; Science and Technology Facilities Council; Natural Sciences and Engineering Research Council of Canada; Office of Science; European Commission; Ministerio de Ciencia e Innovación; Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Centre National de la Recherche Scientifique; Ministerstvo Školství, Mládeže a Tělovýchovy; European Regional Development Fund; U.S. Department of Energy; Fundação para a Ciência e a Tecnologia; Fundação de Amparo à Pesquisa do Estado de Goiás; Fermilab; UK Research and Innovation; National Science Foundation; Royal Society; National Energy Research Scientific Computing Center; CERN; Comunidad de Madrid; Fundação de Amparo à Pesquisa do Estado de São Paulo; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"Physics; Electron; Detector; Neutrino; Muon; Neutrino detector; Nuclear physics; Cosmic ray; Energy (signal processing); Neutrino oscillation; Optics","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":[0.0004426175,0.0002865993,0.0002943992,0.0005069893,0.0002351446,0.0005650885,0.000538807,0.0004033808,0.001038105],"category_scores_gemma":[0.001005553,0.0002091264,0.0001924666,0.0004470013,0.0002200981,0.0004607519,0.0004767958,0.0002866201,0.0003024865],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002877018,"about_ca_system_score_gemma":0.0001764945,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000279302,"about_ca_topic_score_gemma":0.0005556134,"domain_scores_codex":[0.9997417,0.00005486727,0.00001069265,0.0000656699,0.0001011995,0.00002587074],"domain_scores_gemma":[0.9997223,0.00008121399,0.00005179985,0.00006750184,0.00006080147,0.00001634126],"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":[0.004309491,0.000195325,0.1112022,0.0003098687,0.0001500972,0.001194268,0.0003232732,0.04126915,0.6728394,0.0182972,0.001736206,0.1481736],"study_design_scores_gemma":[0.00008306257,0.0006033475,0.04697068,0.00004534293,0.00005774416,0.003008824,0.0001592521,0.1681459,0.7653953,0.00377091,0.01168866,0.00007108161],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8811959,0.0005738303,0.1112056,0.00006635989,0.00002949058,0.00003535497,0.0004673951,0.0008839805,0.005542055],"genre_scores_gemma":[0.9497619,0.0001094703,0.04818518,0.00003792276,0.000004014174,0.00001730232,0.000499087,0.0000530569,0.001332198],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001038105,"threshold_uncertainty_score":0.003472805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0379789024043828,"score_gpt":0.2072284793115188,"score_spread":0.169249576907136,"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."}}