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State Committee of Science; Norges Forskningsråd; Vetenskapsrådet; Financiadora de Estudos e Projetos; Suranaree University of Technology; Villum Fonden; Japan Society for the Promotion of Science; Conselho Nacional de Desenvolvimento Científico e Tecnológico; General Secretariat for Research and Technology; Danmarks Grundforskningsfond; Ministerstvo školstva, vedy, výskumu a športu Slovenskej republiky; Pontificia Universidad Católica del Perú; National Research Foundation; Austrian Science Fund; Korea Institute of Science and Technology; FP7 International Cooperation; Ministry of Education, Culture, Sports, Science and Technology; Bundesministerium für Bildung und Forschung; U.S. Department of Energy; National Research Foundation of Korea; National Science and Technology Development Agency; National Natural Science Foundation of China; GSI Helmholtzzentrum für Schwerionenforschung; Danmarks Frie Forskningsfond; Österreichischen Akademie der Wissenschaften; European Commission; Fundação de Amparo à Pesquisa do Estado de São Paulo; Korea Institute of Science and Technology Information; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Department of Atomic Energy, Government of India; Ministry of Education of the People's Republic of China; Science and Technology Facilities Council; Hrvatska Zaklada za Znanost; Badan Riset dan Inovasi Nasional; University Grants Commission; Istituto Nazionale di Fisica Nucleare; Department of Science and Technology, Ministry of Science and Technology, India; Centre National de la Recherche Scientifique; Council of Scientific and Industrial Research, India; Strong; Universidade Federal do Rio Grande do Sul; CERN; Centro de Aplicaciones Tecnológicas y Desarrollo Nuclear; National Science Foundation","keywords":"Multiplicity (mathematics); Rapidity; Computer science; Mathematics; Physics; Nuclear physics; Mathematical analysis","routes":{"ca_aff":true,"ca_fund":false,"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","sts","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001637785,0.0008858739,0.0004954633,0.0003907392,0.001552208,0.001006872,0.001696634,0.00131376,0.01862147],"category_scores_gemma":[0.0006944799,0.001433158,0.001602101,0.001872236,0.001301,0.001520986,0.002959926,0.001931267,0.004576365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008420572,"about_ca_system_score_gemma":0.001286674,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003519617,"about_ca_topic_score_gemma":0.001314794,"domain_scores_codex":[0.9911222,0.0004914934,0.001713392,0.002117501,0.002422764,0.002132626],"domain_scores_gemma":[0.9940993,0.00118747,0.001103944,0.00231517,0.0003332189,0.0009608841],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00163605,0.001183748,0.00009339555,0.001161932,0.00134638,0.0004815249,0.002983158,0.01429116,0.01937034,0.8903641,0.0625268,0.004561418],"study_design_scores_gemma":[0.001185643,0.000832991,0.0002078393,0.001157731,0.0006161598,0.0001587253,0.001071215,0.4013675,0.5848418,0.0003052268,0.007246647,0.001008567],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9613158,0.0006226088,0.0004879466,0.00060068,0.001610881,0.0001304188,0.0009456894,0.0002315024,0.03405449],"genre_scores_gemma":[0.9917595,0.0007421088,0.001515166,0.0001758687,0.0029812,0.0008855144,0.0008005814,0.0006578477,0.0004822534],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8900589,"threshold_uncertainty_score":0.9999827,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0185167714580589,"score_gpt":0.2546862516612302,"score_spread":0.2361694802031713,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). 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