{"id":"W7112990473","doi":"","title":"Measurement of off-shell Higgs boson production in the H∗ → ZZ → 4ℓ decay channel using a neural simulation-based inference technique in 13 TeV pp collisions with the ATLAS detector","year":2025,"lang":"en","type":"article","venue":"CU Research Publications Repository","topic":"Particle physics theoretical and experimental studies","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"CHIST-ERA; H2020 Marie Skłodowska-Curie Actions; Institut National de Physique Nucléaire et de Physique des Particules; Agencia Estatal de Investigación; Agencia Nacional de Promoción Científica y Tecnológica; Fundação para a Ciência e a Tecnologia; Japan Society for the Promotion of Science; Ministry of Education, Culture, Sports, Science and Technology; Bundesministerium für Bildung und Forschung; Natural Sciences and Engineering Research Council of Canada; Vetenskapsrådet; Horizon 2020 Framework Programme; Narodowa Agencja Wymiany Akademickiej; Forskningsrådet om Hälsa, Arbetsliv och Välfärd; Ministerstvo Školství, Mládeže a Tělovýchovy; National Science and Technology Council; European Social Fund; Royal Society; Centre National pour la Recherche Scientifique et Technique; European Regional Development Fund; British Columbia Knowledge Development Fund; Max-Planck-Gesellschaft; Centre National de la Recherche Scientifique; U.S. Department of Energy; Carl Tryggers Stiftelse för Vetenskaplig Forskning; Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro; Ministerstwo Edukacji i Nauki; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Bundesministerium für Wissenschaft, Forschung und Wirtschaft; Generalitat de Catalunya; Generalitat Valenciana; Agencia Nacional de Investigación y Desarrollo; UK Research and Innovation; Istituto Nazionale di Fisica Nucleare; Ministero dell'Università e della Ricerca; Grantová Agentura České Republiky; Austrian Science Fund; National Natural Science Foundation of China; European Commission; Leverhulme Trust; Fundação de Amparo à Pesquisa do Estado de São Paulo; Science and Technology Facilities Council; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Deutsche Forschungsgemeinschaft; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Ministry of Science and Technology of the People's Republic of China; Agence Nationale de la Recherche; National Science Foundation; Baden-Württemberg Stiftung; H2020 European Research Council; Norges Forskningsråd; Alexander von Humboldt-Stiftung; TRIUMF; Danmarks Grundforskningsfond; Türkiye Enerji, Nükleer ve Maden Araştırma Kurumu; Canarie; CERN; Centres de Recerca de Catalunya; Ministerio de Ciencia e Innovación","keywords":"Higgs boson; Large Hadron Collider; Boson; Atlas (anatomy); Standard Model (mathematical formulation); Detector; Production (economics)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009290199,0.00009768106,0.0001192806,0.0001502673,0.0004538918,0.00008182439,0.0003073018,0.00002431995,0.000003476393],"category_scores_gemma":[0.0001390933,0.00005916108,0.00003868679,0.001503823,0.0003885564,0.0001378507,0.00008860286,0.0002872888,0.000001197254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001564853,"about_ca_system_score_gemma":0.0002650298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007529836,"about_ca_topic_score_gemma":0.00002671395,"domain_scores_codex":[0.9983891,0.00040962,0.000243148,0.0002383068,0.0004709179,0.0002489643],"domain_scores_gemma":[0.9984183,0.0004675967,0.00006674834,0.0004197749,0.0005944654,0.00003305459],"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":[0.000195883,0.002077442,0.313882,0.00006513459,0.00008792117,8.594007e-7,0.002080693,0.1207694,0.5216985,0.0365016,0.0003602557,0.00228037],"study_design_scores_gemma":[0.0003295224,0.00008480919,0.0172899,0.0001655516,0.00001434917,2.146459e-7,0.001760793,0.1183719,0.85962,0.001951746,0.0002952929,0.0001158472],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9900167,0.0001900954,0.00315467,0.003047729,0.00002548553,0.001230936,0.000003762933,0.00001598322,0.002314637],"genre_scores_gemma":[0.9986869,0.000001555432,0.00004742697,0.000006259265,0.00004657119,0.001169997,0.000003348707,0.00000561261,0.00003233344],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3379216,"threshold_uncertainty_score":0.3491015,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06820436420204443,"score_gpt":0.3680956986265642,"score_spread":0.2998913344245198,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). 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