{"id":"W7061843083","doi":"","title":"Search for high-mass dilepton resonances using 139 fb?1 of pp collision data collected at √s=13 TeV with the ATLAS detector","year":2019,"lang":"en","type":"article","venue":"Institutional Repositories DataBase (IRDB)","topic":"Adaptive optics and wavefront sensing","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"H2020 Marie Skłodowska-Curie Actions; Royal Society; Centre National pour la Recherche Scientifique et Technique; European Social Fund; 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; Institut National de Physique Nucléaire et de Physique des Particules; 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; Japan Society for the Promotion of Science; National Research Center \"Kurchatov Institute\"; Israel Science Foundation; 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; Austrian Science Fund; U.S. Department of Energy; 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; Generalitat de Catalunya; 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); Canarie; Centres de Recerca de Catalunya; CERN; Danmarks Grundforskningsfond","keywords":"Collision; Detector; Atlas detector; Large Hadron Collider","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":[0.001982643,0.000867225,0.0009445169,0.003143381,0.001278129,0.001244703,0.001104669,0.0009814529,0.0036765],"category_scores_gemma":[0.0009697999,0.0007577961,0.000887172,0.004275983,0.0003937131,0.0006529917,0.001295497,0.0004307664,0.0009539811],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008205508,"about_ca_system_score_gemma":0.0008537992,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003918198,"about_ca_topic_score_gemma":0.005574179,"domain_scores_codex":[0.9990686,0.0001296733,0.00004640289,0.0003473728,0.0002024124,0.0002054753],"domain_scores_gemma":[0.9990444,0.0003464878,0.0001892942,0.0001728759,0.0001199901,0.0001269929],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.007705058,0.00092536,0.4469655,0.0006498534,0.001793812,0.003683812,0.001051014,0.01342978,0.4651561,0.01136532,0.006467476,0.04080689],"study_design_scores_gemma":[0.0009891341,0.0007192368,0.7117978,0.0000724383,0.001111458,0.002324027,0.0006630367,0.05619886,0.2025754,0.004697713,0.01864529,0.0002055728],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9816684,0.0003318357,0.005534727,0.0001139549,0.00001265929,0.00003763447,0.008218646,0.0004297285,0.003652441],"genre_scores_gemma":[0.9819389,0.00009842939,0.005062863,0.00006607487,0.00001659865,0.00003383275,0.01188088,0.00008259666,0.0008197659],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003918198,"threshold_uncertainty_score":0.01229912,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02823239936365498,"score_gpt":0.2669602147989375,"score_spread":0.2387278154352825,"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."}}