{"id":"W7030132260","doi":"","title":"Measurement of the ZZ production cross section in proton-proton collisions at s√=8 TeV using the ZZ → ???+?′??′+ and ZZ → ???+νν￣ decay channels with the ATLAS detector","year":2017,"lang":"en","type":"article","venue":"Institutional Repositories DataBase (IRDB)","topic":"Particle physics theoretical and experimental studies","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Fundação para a Ciência e a Tecnologia; Institut National de Physique Nucléaire et de Physique des Particules; Agencia Nacional de Promoción Científica y Tecnológica; Science and Technology Facilities Council; Natural Sciences and Engineering Research Council of Canada; Max-Planck-Gesellschaft; Israel Science Foundation; Israeli Centers for Research Excellence; Joint Institute for Nuclear Research; Centre National pour la Recherche Scientifique et Technique; Bundesministerium für Wissenschaft, Forschung und Wirtschaft; General Secretariat for Research and Technology; Ministry of Education, Culture, Sports, Science and Technology; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Bundesministerium für Bildung und Forschung; Fundação de Amparo à Pesquisa do Estado de São Paulo; Javna Agencija za Raziskovalno Dejavnost RS; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Ministerstwo Edukacji i Nauki; CERN; Austrian Science Fund; Comisión Nacional de Investigación Científica y Tecnológica; Danmarks Grundforskningsfond; National Research Center \"Kurchatov Institute\"; Centre National de la Recherche Scientifique; Türkiye Atom Enerjisi Kurumu; Japan Society for the Promotion of Science; Conselho Nacional de Desenvolvimento Científico e Tecnológico; National Natural Science Foundation of China; Georgian National Science Foundation; Services Fédéraux des Affaires Scientifiques, Techniques et Culturelles; Department of Science and Technology, Ministry of Science and Technology, India; Departamento Administrativo de Ciencia, Tecnología e Innovación (COLCIENCIAS)","keywords":"Atlas detector; Detector; Cross section (physics); Atlas (anatomy); 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001330636,0.0005984911,0.0005009138,0.001949944,0.0006051433,0.001131971,0.001058804,0.0007031045,0.003117599],"category_scores_gemma":[0.0007776761,0.0005154934,0.0004768269,0.002425988,0.0002788539,0.0005969981,0.0008641034,0.0003321394,0.0008773826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005727625,"about_ca_system_score_gemma":0.000424231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001555446,"about_ca_topic_score_gemma":0.002733296,"domain_scores_codex":[0.9992127,0.0001720347,0.00004628283,0.0002426717,0.0002166682,0.0001095381],"domain_scores_gemma":[0.9992375,0.0002120775,0.0002235991,0.0001064606,0.0001284898,0.00009184711],"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":[0.008908951,0.0006190389,0.3578722,0.0005982348,0.001029638,0.002057233,0.0005256532,0.006914356,0.5795273,0.01125807,0.006089701,0.02459978],"study_design_scores_gemma":[0.0005314538,0.0009801404,0.4756703,0.00003272284,0.0006774514,0.001985034,0.0003028177,0.02344745,0.4865783,0.002022146,0.00762895,0.0001433669],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9832278,0.0003967543,0.003670474,0.0001147919,0.00002158065,0.00003554469,0.005641325,0.0004491105,0.006442725],"genre_scores_gemma":[0.993865,0.0001355291,0.001851438,0.00003833784,0.00001599437,0.00002518411,0.003164542,0.00003128996,0.0008727409],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003117599,"threshold_uncertainty_score":0.01042938,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0311828792867274,"score_gpt":0.2940549203417915,"score_spread":0.2628720410550641,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}