{"id":"W7073625790","doi":"","title":"Search for $t\\\\bar{t}H/A \\\\rightarrow t\\\\bar{t}t\\\\bar{t}$ production in proton-proton collisions at $\\\\sqrt{s}=13$ TeV with the ATLAS detector","year":2024,"lang":"en","type":"other","venue":"CERN Document Server (European Organization for Nuclear Research)","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; 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; Knut och Alice Wallenbergs Stiftelse; Israel Science Foundation; 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; U.S. Department of Energy; Carl Tryggers Stiftelse för Vetenskaplig Forskning; Ministero dell'Università e della Ricerca; Grantová Agentura České Republiky; Austrian Science Fund; Natural Sciences and Engineering Research Council of Canada; Ministry of Education, Culture, Sports, Science and Technology; Bundesministerium für Bildung und Forschung; Horizon 2020 Framework Programme; Vetenskapsrådet; National Natural Science Foundation of China; European Commission; Leverhulme Trust; Fundação de Amparo à Pesquisa do Estado de São Paulo; Javna Agencija za Raziskovalno Dejavnost RS; 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":"Atlas (anatomy); Pair production; Kinematics; Atlas detector; Scalar (mathematics); Detector; Artificial neural network; Large Hadron Collider","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":[0.0005216169,0.0005011905,0.0003541079,0.000587075,0.0003221941,0.0007519177,0.0005618631,0.0005742121,0.001331412],"category_scores_gemma":[0.0005014503,0.0002773315,0.0003685281,0.0006305733,0.0001837008,0.0002890972,0.0006215296,0.0002534104,0.0002920255],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003380298,"about_ca_system_score_gemma":0.0003727846,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002891821,"about_ca_topic_score_gemma":0.004433205,"domain_scores_codex":[0.9998407,0.00003950057,0.000005471502,0.00004769833,0.00003759252,0.00002895371],"domain_scores_gemma":[0.9997653,0.0001178671,0.00003599021,0.00001272951,0.00002120894,0.00004681057],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.007923082,0.0008346213,0.3041215,0.0005244001,0.001145476,0.003624556,0.0002331795,0.3641039,0.2317592,0.0173962,0.003700365,0.0646335],"study_design_scores_gemma":[0.0001574689,0.0009827971,0.07191827,0.00001913507,0.0001855423,0.0007801176,0.0001228391,0.838209,0.08257992,0.003742658,0.001241039,0.00006116685],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9897827,0.0001508673,0.006935094,0.00007932976,0.000006095591,0.00001117142,0.0004734287,0.0002446182,0.002316587],"genre_scores_gemma":[0.9947103,0.00004106914,0.004002716,0.00001573854,0.000003443166,0.000005392188,0.0006653354,0.0000167224,0.0005391298],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002891821,"threshold_uncertainty_score":0.00575,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01984159288853244,"score_gpt":0.2790253341606346,"score_spread":0.2591837412721021,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). 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