{"id":"W2202145864","doi":"10.1103/physrevd.91.051102","title":"Search for short baseline<mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" display=\"inline\"><mml:msub><mml:mi>ν</mml:mi><mml:mi>e</mml:mi></mml:msub></mml:math>disappearance with the T2K near detector","year":2015,"lang":"lv","type":"article","venue":"Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D, Particles, fields, gravitation, and cosmology","topic":"Neutrino Physics Research","field":"Physics and Astronomy","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Particle Physics; University of Alberta; TRIUMF; University of Regina; University of Victoria; University of Winnipeg; University of Toronto; York University; University of British Columbia","funders":"European Regional Development Fund; European Commission; Instituto Nazionale di Fisica Nucleare; CERN; European Research Council; Institut National de Physique Nucléaire et de Physique des Particules; Science and Technology Facilities Council; National Research Council Canada; Natural Sciences and Engineering Research Council of Canada; Centre National de la Recherche Scientifique; Narodowe Centrum Nauki; Deutsches Elektronen-Synchrotron; Ministerio de Economía y Competitividad; Japan Society for the Promotion of Science; Russian Foundation for Basic Research; Russian Science Foundation; Ministry of Education, Culture, Sports, Science and Technology; Staatssekretariat für Bildung, Forschung und Innovation; Deutsche Forschungsgemeinschaft; U.S. Department of Energy; Canada Foundation for Innovation; National Science Foundation; Compute Canada; Western Canada Research Grid; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"Physics; Neutrino; Particle physics; Algorithm; Machine learning; Combinatorics; Computer science; Mathematics","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"],"consensus_categories":[],"category_scores_codex":[0.001385652,0.0005450058,0.0006331353,0.00006975344,0.0009095635,0.0003480545,0.0006939286,0.0003382731,0.00002588397],"category_scores_gemma":[0.0004390437,0.0006072502,0.0006374761,0.0006893033,0.00121729,0.000439489,0.0003524196,0.001010262,0.0003410965],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001350486,"about_ca_system_score_gemma":0.0006099357,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000454156,"about_ca_topic_score_gemma":0.0002921411,"domain_scores_codex":[0.9949889,0.000807521,0.001028133,0.001100269,0.0008589566,0.001216247],"domain_scores_gemma":[0.9951136,0.002179162,0.0005785783,0.001017266,0.0004474554,0.0006640024],"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":[0.0005340038,0.0005816544,0.0007853591,0.001760639,0.0004382279,0.00004405836,0.001276623,0.0001698719,0.001379287,0.966724,0.01136147,0.01494483],"study_design_scores_gemma":[0.002920391,0.004698457,0.0007613498,0.002561268,0.002594252,0.0001525563,0.001732829,0.0155401,0.1268611,0.8321598,0.008356718,0.001661161],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9844503,0.007654324,0.001877899,0.005114958,0.0002739682,0.000346311,0.0001369565,0.00004719283,0.00009802459],"genre_scores_gemma":[0.9896451,0.004295992,0.0005025813,0.002690825,0.000950425,0.001421278,0.0003512947,0.0001276513,0.00001480281],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1345642,"threshold_uncertainty_score":0.9996379,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02860926293495485,"score_gpt":0.3185169628088224,"score_spread":0.2899076998738675,"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."}}