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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; Knut och Alice Wallenbergs Stiftelse; 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; Natural Sciences and Engineering Research Council of Canada; Ministry of Education, Culture, Sports, Science and Technology; Bundesministerium für Bildung und Forschung; 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":"Rapidity; Monte Carlo method; Atlas (anatomy); Hadron; Calorimeter (particle physics); Multiplicity (mathematics); Detector","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":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00113855,0.000256348,0.0005962445,0.0009650665,0.001326384,0.00002582386,0.00144745,0.0002135908,0.001101372],"category_scores_gemma":[0.00004520678,0.0002888725,0.0002187041,0.001835648,0.002082117,0.0004427074,0.001577093,0.0008740012,0.00002293591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002860395,"about_ca_system_score_gemma":0.000466841,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02214372,"about_ca_topic_score_gemma":0.01797668,"domain_scores_codex":[0.996989,0.0004992849,0.0002160597,0.0006251573,0.001023107,0.0006474174],"domain_scores_gemma":[0.9974734,0.0005389701,0.0002212786,0.0007893121,0.0007136931,0.0002633944],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.02152047,0.009005846,0.673588,0.001588269,0.004342734,0.0005580403,0.0719907,0.03178895,0.104124,0.02912743,0.03935404,0.01301153],"study_design_scores_gemma":[0.02979222,0.003017141,0.2673663,0.005542692,0.001202934,0.0000122104,0.5382943,0.04297971,0.01132377,0.0006268017,0.09760879,0.002233173],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9853498,0.0001392444,0.001498922,0.002389343,0.00003646986,0.0006446456,0.0002003044,0.00002501644,0.00971626],"genre_scores_gemma":[0.9794498,0.0004084815,0.001002506,0.000004144373,0.00001542679,5.873401e-8,0.00004547646,0.00001465348,0.01905944],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4663035,"threshold_uncertainty_score":0.9999738,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04471678249038159,"score_gpt":0.2668406764745591,"score_spread":0.2221238939841775,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). 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