{"id":"W6987211535","doi":"","title":"Search for massive colored scalars in four-jet final states in s√=7 TeV proton–proton collisions with the ATLAS detector","year":2011,"lang":"en","type":"article","venue":"Lancaster EPrints (Lancaster University)","topic":"Particle physics theoretical and experimental studies","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institut National de Physique Nucléaire et de Physique des Particules; Agencia Nacional de Promoción Científica y Tecnológica; Fundação para a Ciência e a Tecnologia; Natural Sciences and Engineering Research Council of Canada; H. Lundbeck A/S; Services Fédéraux des Affaires Scientifiques, Techniques et Culturelles; State Atomic Energy Corporation ROSATOM; Bundesministerium für Wissenschaft und Forschung; Centre National pour la Recherche Scientifique et Technique; Centre National de la Recherche Scientifique; Israel Science Foundation; Max-Planck-Gesellschaft; Lundbeckfonden; Leverhulme Trust; General Secretariat for Research and Technology; Ministry of Education, Culture, Sports, Science and Technology; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Bundesministerium für Bildung und Forschung; Japan Society for the Promotion of Science; Conselho Nacional de Desenvolvimento Científico e Tecnológico; U.S. Department of Energy; National Natural Science Foundation of China; TRIUMF; Alexander von Humboldt-Stiftung; Comisión Nacional de Investigación Científica y Tecnológica; Danmarks Grundforskningsfond; Ministerstwo Edukacji i Nauki; CERN; Deutsche Forschungsgemeinschaft; European Commission; National Science Foundation; Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Atlas detector; Atlas (anatomy); Detector; Scalar (mathematics); Large Hadron Collider; Luminosity; Gluon; Standard Model (mathematical formulation); Standard deviation; Colored","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":[0.00110557,0.0004893235,0.0006960512,0.001299485,0.001229377,0.001648743,0.000683534,0.0006327653,0.002033452],"category_scores_gemma":[0.00062835,0.0004700807,0.0005190157,0.001429456,0.0003375053,0.0004107427,0.0008397864,0.0002309934,0.0003501002],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000620871,"about_ca_system_score_gemma":0.0004868572,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001546274,"about_ca_topic_score_gemma":0.002431436,"domain_scores_codex":[0.999647,0.00009824608,0.00002369798,0.00006762439,0.00008787032,0.0000755095],"domain_scores_gemma":[0.9995074,0.0001580513,0.0001215977,0.00003594367,0.00004874332,0.0001282155],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.01007144,0.0005889773,0.5216503,0.0003941731,0.0009542997,0.01699156,0.001514955,0.01452956,0.3810257,0.026966,0.002411625,0.02290127],"study_design_scores_gemma":[0.001663268,0.004373461,0.47052,0.000058514,0.001347425,0.01067627,0.002143619,0.1157424,0.3690542,0.01699972,0.00693525,0.0004858078],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963474,0.0001054098,0.001551572,0.00004710667,0.000004207767,0.000008338757,0.0001368743,0.00005938169,0.00173981],"genre_scores_gemma":[0.9979237,0.00002519988,0.001257425,0.00001975622,0.000004311936,0.000003167552,0.0002832282,0.000005091028,0.0004781409],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002033452,"threshold_uncertainty_score":0.006802559,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03723135757930424,"score_gpt":0.2429092202214023,"score_spread":0.205677862642098,"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."}}