{"id":"W7047887028","doi":"","title":"Identification and reconstruction of low-energy electrons in the ProtoDUNE-SP detector","year":2023,"lang":"en","type":"article","venue":"Data Archiving and Networked Services (DANS)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"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":"Detector; Identification (biology); Electron; Noise (video); Particle detector; Field (mathematics)","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":[0.0004942057,0.0003219297,0.000335345,0.000474491,0.0002299937,0.0006044328,0.0004944974,0.0004365979,0.001065432],"category_scores_gemma":[0.001015522,0.0002227126,0.0002087073,0.000388142,0.0002264132,0.0005062746,0.0005525097,0.0003165495,0.0002996764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002961479,"about_ca_system_score_gemma":0.0001588664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000222286,"about_ca_topic_score_gemma":0.0004470051,"domain_scores_codex":[0.9997119,0.00006671581,0.00001092044,0.0000750846,0.0001078113,0.00002738017],"domain_scores_gemma":[0.999725,0.00008750093,0.00005074207,0.00006598212,0.00005291997,0.00001775299],"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":[0.005154452,0.0002191363,0.09030531,0.0003184084,0.0001753477,0.001252774,0.0003529953,0.05791001,0.6575927,0.0241556,0.002077333,0.1604858],"study_design_scores_gemma":[0.0001263842,0.0007971865,0.04576434,0.00006142572,0.00006556336,0.003410463,0.0001939735,0.2332425,0.6962319,0.006339855,0.0136651,0.0001012555],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8811201,0.0005981572,0.1108826,0.00006987563,0.00002984359,0.00003452945,0.0004671411,0.0009214797,0.005876273],"genre_scores_gemma":[0.9466454,0.0001076123,0.05115613,0.00004683017,0.00000531245,0.00001796954,0.0005220814,0.00006108457,0.0014376],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001065432,"threshold_uncertainty_score":0.003564239,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01177430522724554,"score_gpt":0.2502407708360372,"score_spread":0.2384664656087917,"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."}}