{"id":"W7033948801","doi":"","title":"Search for Low-Mass Dijet Resonances Using Trigger-Level Jets with the ATLAS Detector in pp Collisions at √s=13  TeV","year":2018,"lang":"en","type":"article","venue":"Institutional Repositories DataBase (IRDB)","topic":"Paleontology and Evolutionary Biology","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"H2020 Marie Skłodowska-Curie Actions; Institut National de Physique Nucléaire et de Physique des Particules; 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; Japan Society for the Promotion of Science; National Research Center \"Kurchatov Institute\"; European Regional Development Fund; British Columbia Knowledge Development Fund; Centre National de la Recherche Scientifique; Max-Planck-Gesellschaft; 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; Bundesministerium für Wissenschaft, Forschung und Wirtschaft; 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; Departamento Administrativo de Ciencia, Tecnología e Innovación (COLCIENCIAS); Centres de Recerca de Catalunya; CERN; Danmarks Grundforskningsfond; Canarie","keywords":"Large Hadron Collider; Atlas (anatomy); Detector; Atlas detector; Hadron; Luminosity; Event (particle physics); Range (aeronautics)","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":[0.001087434,0.0002871929,0.0007047327,0.001759489,0.0004819432,0.001588083,0.0007553595,0.0003912311,0.002347351],"category_scores_gemma":[0.001437711,0.000279634,0.0003256714,0.003374164,0.000232391,0.0007536174,0.0008474039,0.0002106831,0.0008117321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003512807,"about_ca_system_score_gemma":0.0003279765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008890273,"about_ca_topic_score_gemma":0.001199078,"domain_scores_codex":[0.9993138,0.0001219412,0.0000611633,0.000205387,0.0001861248,0.0001117001],"domain_scores_gemma":[0.9992769,0.0002881923,0.000135637,0.0001175855,0.0001044521,0.00007710296],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.008787054,0.0005703457,0.4876335,0.0007129912,0.0006196743,0.005230613,0.0009590179,0.01939931,0.3695537,0.01129476,0.00466694,0.09057198],"study_design_scores_gemma":[0.000328237,0.001162823,0.2918388,0.00004433486,0.0006147674,0.004114069,0.0005420091,0.1366792,0.5448464,0.006086187,0.01351348,0.0002296719],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9729559,0.0002541637,0.0180623,0.00003347353,0.00001102896,0.00003215553,0.003687137,0.000704661,0.004259093],"genre_scores_gemma":[0.9804544,0.0001423249,0.01241289,0.00002872708,0.00001333093,0.00003637315,0.005725913,0.00008199942,0.001104033],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002347351,"threshold_uncertainty_score":0.007852674,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04686010286065362,"score_gpt":0.2749561743255098,"score_spread":0.2280960714648562,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). 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