{"id":"W7071226248","doi":"","title":"Search for new phenomena in the dijet mass distribution using p p collision data at s = 8 _ _ TeV with the ATLAS detector","year":2015,"lang":"en","type":"article","venue":"LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas)","topic":"Particle physics theoretical and experimental studies","field":"Physics and Astronomy","cited_by":3,"is_retracted":false,"has_abstract":true,"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; H. Lundbeck A/S; State Atomic Energy Corporation ROSATOM; Centre National pour la Recherche Scientifique et Technique; Georgian National Science Foundation; Centre National de la Recherche Scientifique; Max-Planck-Gesellschaft; Israel Science Foundation; Israeli Centers for Research Excellence; Joint Institute for Nuclear Research; Japan Society for the Promotion of Science; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Lundbeckfonden; Bundesministerium für Wissenschaft, Forschung und Wirtschaft; Leverhulme Trust; General Secretariat for Research and Technology; Ministry of Education, Culture, Sports, Science and Technology; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Austrian Science Fund; Bundesministerium für Bildung und Forschung; National Science Council; U.S. Department of Energy; National Natural Science Foundation of China; 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; Departamento Administrativo de Ciencia, Tecnología e Innovación (COLCIENCIAS); Deutsche Forschungsgemeinschaft; European Commission; Comisión Nacional de Investigación Científica y Tecnológica; Danmarks Grundforskningsfond; TRIUMF; Alexander von Humboldt-Stiftung; Services Fédéraux des Affaires Scientifiques, Techniques et Culturelles; Department of Science and Technology, Ministry of Science and Technology, India; National Science Foundation; Türkiye Atom Enerjisi Kurumu","keywords":"Atlas (anatomy); Atlas detector; Mass distribution; Detector; Collision","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":[0.001088081,0.0003387628,0.0003857191,0.003371797,0.0006699236,0.001358606,0.0008418694,0.0005157996,0.002557835],"category_scores_gemma":[0.001422423,0.0003766239,0.0005070193,0.003741245,0.000291144,0.0006022998,0.001033881,0.0005326949,0.0006825959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003950777,"about_ca_system_score_gemma":0.0003662547,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00251495,"about_ca_topic_score_gemma":0.005230261,"domain_scores_codex":[0.9995077,0.0000939262,0.00003100256,0.0001529005,0.0001370029,0.00007752095],"domain_scores_gemma":[0.9986994,0.0004601545,0.0003397464,0.0001726747,0.0001669991,0.0001608737],"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":[0.002921658,0.0002541918,0.8791289,0.0002417354,0.0005827343,0.002605718,0.0008730435,0.006004544,0.06462198,0.009626209,0.00407237,0.0290668],"study_design_scores_gemma":[0.0001504947,0.0004121815,0.9227139,0.00003587112,0.0002929007,0.002948691,0.0005406023,0.03028915,0.03199943,0.002690682,0.007831309,0.00009479523],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9901296,0.000253491,0.002518615,0.00007822662,0.00001394554,0.00001455361,0.002555763,0.000175823,0.004260021],"genre_scores_gemma":[0.9947596,0.00006455539,0.001533431,0.00002128683,0.00001499661,0.000008696621,0.002741373,0.00003634848,0.0008196551],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003371797,"threshold_uncertainty_score":0.008556843,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05264526002090729,"score_gpt":0.2855483999003894,"score_spread":0.2329031398794821,"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."}}