{"id":"W3095040953","doi":"10.1103/physrevd.102.112011","title":"Search for proton decay via <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" display=\"inline\"><mml:mi>p</mml:mi><mml:mo stretchy=\"false\">→</mml:mo><mml:msup><mml:mi>e</mml:mi><mml:mo>+</mml:mo></mml:msup><mml:msup><mml:mi>π</mml:mi><mml:mn>0</mml:mn></mml:msup></mml:math> and <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" display=\"inline\"><mml:mi>p</mml:mi><mml:mo stretchy=\"false\">→</mml:mo><mml:msup><mml:mi>μ</mml:mi><mml:mo>+</mml:mo></mml:msup><mml:msup><mml:mi>π</mml:mi><mml:mn>0</mml:mn></mml:msup></mml:math> with an enlarged fiducial volume in Super-Kamiokande I-IV","year":2020,"lang":"lv","type":"article","venue":"Physical review. D/Physical review. D.","topic":"Particle physics theoretical and experimental studies","field":"Physics and Astronomy","cited_by":127,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Winnipeg; British Columbia Institute of Technology; TRIUMF; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Japan Society for the Promotion of Science; Horizon 2020 Framework Programme; Ministry of Science, ICT and Future Planning; Ministry of Education, Culture, Sports, Science and Technology; Kerman Neuroscience Research Center, Kerman University of Medical Sciences; Science and Technology Facilities Council; National Research Foundation; Ministerio de Ciencia e Innovación; Narodowym Centrum Nauki; Narodowe Centrum Nauki; U.S. Department of Energy; European Commission; Western Canada Research Grid; H2020 Marie Skłodowska-Curie Actions; National Natural Science Foundation of China; National Science Foundation; Compute Canada; National Research Foundation of Korea","keywords":"Fiducial marker; Physics; Volume (thermodynamics); Algorithm; Mathematics; Artificial intelligence; Computer science; Thermodynamics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","open_science","research_integrity","insufficient_payload"],"category_scores_codex":[0.005637149,0.005443795,0.003152504,0.001421332,0.006938429,0.005334125,0.008833644,0.005776021,0.02256417],"category_scores_gemma":[0.004731092,0.008677438,0.009580259,0.005516291,0.008010667,0.006021481,0.00915088,0.008610984,0.008456689],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001825886,"about_ca_system_score_gemma":0.004915873,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004411027,"about_ca_topic_score_gemma":0.00146797,"domain_scores_codex":[0.9601696,0.002828921,0.008292323,0.008915181,0.009495533,0.01029841],"domain_scores_gemma":[0.972032,0.006009276,0.007158882,0.007384595,0.001238308,0.006176976],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.006953298,0.003924999,0.0001365592,0.009592051,0.007192739,0.002941279,0.004733829,0.001986213,0.008307721,0.8778643,0.06515414,0.01121289],"study_design_scores_gemma":[0.00924895,0.01057324,0.0001228917,0.009502061,0.01016488,0.002799691,0.004936902,0.1702002,0.7429665,0.01285107,0.01740458,0.009229013],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9361178,0.01001039,0.001955202,0.003774583,0.00410216,0.0008638155,0.004260549,0.001216748,0.03769877],"genre_scores_gemma":[0.9462156,0.01196113,0.003640457,0.00385913,0.009893893,0.01248042,0.008088587,0.003646653,0.0002141659],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8650132,"threshold_uncertainty_score":0.9988629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01944300745676458,"score_gpt":0.2955859520951872,"score_spread":0.2761429446384226,"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."}}