{"id":"W4310492876","doi":"10.17182/hepdata.81947","title":"Measurement of the inclusive cross-sections of single top-quark and top-antiquark $t$-channel production in $pp$ collisions at $\\sqrt{s}$ = 13 TeV with the ATLAS detector","year":2019,"lang":"en","type":"dataset","venue":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","topic":"Particle physics theoretical and experimental studies","field":"Physics and Astronomy","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"H2020 Marie Skłodowska-Curie Actions; Institut National de Physique Nucléaire et de Physique des Particules; European Regional Development Fund; Max-Planck-Gesellschaft; Centre National de la Recherche Scientifique; British Columbia Knowledge Development Fund; Fundação para a Ciência e a Tecnologia; Agencia Nacional de Promoción Científica y Tecnológica; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Science and Technology Facilities Council; Bundesministerium für Bildung und Forschung; Ministry of Education, Culture, Sports, Science and Technology; Natural Sciences and Engineering Research Council of Canada; Fondation Partager le Savoir; European Social Fund; Centre National pour la Recherche Scientifique et Technique; Georgian National Science Foundation; Japan Society for the Promotion of Science; National Research Center \"Kurchatov Institute\"; Israel Science Foundation; U.S. Department of Energy; Israeli Centers for Research Excellence; Comisión Nacional de Investigación Científica y Tecnológica; Türkiye Atom Enerjisi Kurumu; Joint Institute for Nuclear Research; Ministerstwo Edukacji i Nauki; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Generalitat de Catalunya; Generalitat Valenciana; Fonds Québécois de la Recherche sur la Nature et les Technologies; Austrian Science Fund; Ontario Innovation Trust; 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; Deutsche Forschungsgemeinschaft; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Agence Nationale de la Recherche; Services Fédéraux des Affaires Scientifiques, Techniques et Culturelles; Department of Science and Technology, Ministry of Science and Technology, India; General Secretariat for Research and Technology; National Science Foundation; Compute Canada; Alexander von Humboldt-Stiftung; TRIUMF; Canarie; Centres de Recerca de Catalunya; CERN; Danmarks Grundforskningsfond","keywords":"Channel (broadcasting); Production (economics); Mathematics; Physics; Particle physics; Computer science; Telecommunications","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":[0.0003503323,0.0001875076,0.0003480081,0.00007661754,0.000298947,0.00003781796,0.0002296981,0.00006411696,0.0000157615],"category_scores_gemma":[0.00004552123,0.0001107447,0.00009369654,0.0004219619,0.00127988,0.0002276762,0.0004435649,0.0001141372,0.000002136024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005736537,"about_ca_system_score_gemma":0.00007033363,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002385153,"about_ca_topic_score_gemma":0.00007084441,"domain_scores_codex":[0.9984498,0.00004373887,0.0005694404,0.0002121881,0.0005514012,0.0001734242],"domain_scores_gemma":[0.9985583,0.00009531271,0.000580004,0.0003872962,0.0003341663,0.00004486968],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.004578608,0.01241714,0.06067234,0.003054325,0.002582519,0.000001323264,0.001057223,0.02221561,0.2283848,0.06389377,0.5989195,0.002222925],"study_design_scores_gemma":[0.0009406757,0.0006577791,0.01202063,0.0005219192,0.0002253164,0.000003294703,0.0002767023,0.00002754767,0.9430743,0.0008249207,0.04106688,0.0003600548],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9292123,0.0001812095,0.00007744027,0.0001521808,0.0002177108,0.0004880766,0.06878669,0.00000526025,0.0008791683],"genre_scores_gemma":[0.9809298,0.00001907351,0.00002723082,0.000004150728,0.00002065861,0.00005799787,0.01891834,0.000004503564,0.00001822726],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7146895,"threshold_uncertainty_score":0.4715772,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01314969677939728,"score_gpt":0.2446632337556324,"score_spread":0.2315135369762351,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). 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