{"id":"W6967096880","doi":"10.3929/ethz-b-000452639","title":"Neutrino interaction classification with a convolutional neural network in the DUNE far detector","year":2020,"lang":"en","type":"other","venue":"Repository for Publications and Research Data (ETH Zurich)","topic":"Neutrino Physics Research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institut National de Physique Nucléaire et de Physique des Particules; Horizon 2020 Framework Programme; 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; Staatssekretariat für Bildung, Forschung und Innovation; CERN; Comunidad de Madrid; Fundação de Amparo à Pesquisa do Estado de São Paulo; Türkiye Bilimsel ve Teknolojik Araştırma Kurumu; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"Neutrino; Neutrino oscillation; Measurements of neutrino speed; Electron neutrino; Muon; Muon neutrino; Neutrino detector; Solar neutrino problem","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":[0.0004568632,0.0006692698,0.0004616886,0.0006178504,0.0003758479,0.0006869861,0.001278062,0.0008528588,0.005963604],"category_scores_gemma":[0.0007076005,0.0004167089,0.000516992,0.0004989854,0.0002241384,0.0008114792,0.0008995741,0.0007795718,0.002202453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001023052,"about_ca_system_score_gemma":0.001137023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01505955,"about_ca_topic_score_gemma":0.02043477,"domain_scores_codex":[0.9998044,0.00002350084,0.000005314072,0.00007106258,0.00005469699,0.00004095323],"domain_scores_gemma":[0.9998925,0.0000252218,0.000007518892,0.00002036286,0.00003737646,0.00001702489],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001372272,0.0006334655,0.008495016,0.0002226642,0.0003308994,0.0004224275,0.00007294527,0.3950651,0.01950511,0.01248648,0.07059975,0.4907938],"study_design_scores_gemma":[0.00002244859,0.00004253125,0.0007368795,0.00000900496,0.00001456387,0.00002697388,0.000008021652,0.9879293,0.004202214,0.002928389,0.004062539,0.00001712283],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.374837,0.002578974,0.5334541,0.002127928,0.0007842807,0.0002754039,0.009853071,0.03788652,0.03820267],"genre_scores_gemma":[0.7199379,0.0005705438,0.2213399,0.0007299374,0.0001277835,0.0002220902,0.0161296,0.0005093751,0.04043294],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01505955,"threshold_uncertainty_score":0.02994382,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1478838692502681,"score_gpt":0.3922120341307099,"score_spread":0.2443281648804418,"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."}}