{"id":"W4415249498","doi":"10.1140/epjc/s10052-025-14836-0","title":"Testing T2K’s Bayesian constraints with priors in alternate parameterisations","year":2025,"lang":"en","type":"article","venue":"The European Physical Journal C","topic":"Constraint Satisfaction and Optimization","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; TRIUMF; Institute of Particle Physics","funders":"FP7 Ideas: European Research Council; H2020 European Research Council; European Regional Development Fund; Staatssekretariat für Bildung, Forschung und Innovation; Japan Society for the Promotion of Science; 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; Commissariat à l'Énergie Atomique et aux Énergies Alternatives; Centre National de la Recherche Scientifique; Nemzeti Kutatási Fejlesztési és Innovációs Hivatal; Agency for Cultural Affairs, Government of Japan; University of Tokyo; Ministerio de Ciencia, Tecnología e Innovación Productiva; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; H2020 Marie Skłodowska-Curie Actions; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Canada Foundation for Innovation; CERN; Ministerstwo Edukacji i Nauki; Centres de Recerca de Catalunya; Deutsche Forschungsgemeinschaft; UK Research and Innovation; Consejería de Economía, Innovación, Ciencia y Empleo, Junta de Andalucía; Russian Science Foundation; Ministerio de Ciencia, Tecnología e Innovación; Ministry of Education, Culture, Sports, Science and Technology; Agence Nationale de la Recherche; “la Caixa” Foundation; Instituto Nazionale di Fisica Nucleare; Ministerio de Ciencia e Innovación; Narodowe Centrum Nauki; U.S. Department of Energy","keywords":"Octant (instrument); Prior probability; Mixing (physics); Bayesian probability; Matrix (chemical analysis); Symmetry (geometry); Bayesian inference; Preference","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0301909,0.001370122,0.001958313,0.001595243,0.001610511,0.005131769,0.002130511,0.002583102,0.006401967],"category_scores_gemma":[0.1510785,0.001028685,0.002167023,0.002117011,0.003283197,0.006411535,0.003118816,0.005238685,0.0005981204],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002153285,"about_ca_system_score_gemma":0.003779081,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007181687,"about_ca_topic_score_gemma":0.007162745,"domain_scores_codex":[0.9846795,0.01043068,0.000616191,0.001752969,0.00160303,0.0009176816],"domain_scores_gemma":[0.8163062,0.1663089,0.004716249,0.008073246,0.003302909,0.001292375],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002619223,0.0004214385,0.01258049,0.0005020896,0.0008936164,0.0004209376,0.0005814417,0.5661155,0.003101908,0.334195,0.005453666,0.07311468],"study_design_scores_gemma":[0.0002496218,0.0001349342,0.002108934,0.00006887908,0.00005930951,0.00007482567,0.0001563933,0.6777728,0.001697377,0.3164651,0.001147269,0.00006448457],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3025431,0.0003865439,0.6806794,0.00322784,0.00007836438,0.0001946679,0.002017111,0.0004783588,0.01039446],"genre_scores_gemma":[0.7055226,0.000234359,0.2894022,0.0006280357,0.00008261123,0.0002976426,0.002073651,0.000453608,0.001305336],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0301909,"threshold_uncertainty_score":0.1596667,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01660938350452548,"score_gpt":0.2527714085730896,"score_spread":0.2361620250685641,"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."}}