{"id":"W7119333395","doi":"","title":"The ATLAS trigger system for LHC Run 3 and trigger performance in 2022","year":2024,"lang":"en","type":"article","venue":"RepositóriUM (Universidade do Minho)","topic":"Particle Detector Development and Performance","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; Natural Sciences and Engineering Research Council of Canada; Knut och Alice Wallenbergs Stiftelse; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Austrian Science Fund; National Science Foundation; TRIUMF; Leverhulme Trust; Bundesministerium für Wissenschaft, Forschung und Wirtschaft; CERN; Fundação de Amparo à Pesquisa do Estado de São Paulo; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; U.S. Department of Energy","keywords":"Atlas (anatomy); Large Hadron Collider; Remainder; Data acquisition; ATLAS experiment; Shutdown","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":[0.004278091,0.0006160015,0.0005953665,0.001039216,0.0008290597,0.002392044,0.0009604109,0.00066803,0.01242323],"category_scores_gemma":[0.003646342,0.0004506473,0.0004354657,0.001655927,0.0002440331,0.00107416,0.001301587,0.000636878,0.007887878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002177835,"about_ca_system_score_gemma":0.002785519,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01152792,"about_ca_topic_score_gemma":0.007706758,"domain_scores_codex":[0.9967113,0.0004390362,0.0001158337,0.0004863888,0.001724128,0.0005232572],"domain_scores_gemma":[0.9983252,0.0002447388,0.0001208458,0.0002492498,0.0008038764,0.0002561761],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.01226828,0.0005763407,0.08530797,0.0007114639,0.0002941278,0.0009638204,0.002000294,0.01791786,0.107768,0.02978193,0.2842414,0.4581685],"study_design_scores_gemma":[0.0006093726,0.002291696,0.223488,0.0002083401,0.0002152528,0.00177208,0.0005217796,0.03038429,0.1167528,0.007165718,0.6161165,0.000474024],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5569585,0.003210922,0.07607391,0.00202253,0.000776575,0.001116637,0.09750398,0.05378918,0.2085478],"genre_scores_gemma":[0.7881605,0.0007469091,0.04796443,0.001221178,0.0002999265,0.001157191,0.1130814,0.005489562,0.04187897],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01242323,"threshold_uncertainty_score":0.04155988,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006675746027768886,"score_gpt":0.2082873933515768,"score_spread":0.2016116473238079,"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."}}