{"id":"W2026232913","doi":"10.1088/1742-6596/513/5/052022","title":"ATLAS offline software performance monitoring and optimization","year":2014,"lang":"en","type":"article","venue":"Journal of Physics Conference Series","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"TRIUMF","funders":"","keywords":"Atlas (anatomy); Computer science; Software; Operating system; Real-time computing; Biology; Anatomy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002390058,0.00009790565,0.0001896366,0.00003227154,0.0001018676,0.0002361957,0.0003517756,0.00002987882,0.000001243044],"category_scores_gemma":[0.00004395809,0.00008262594,0.0000339282,0.0001314852,0.00003680122,0.001033288,0.00008417945,0.0001260987,0.000002065936],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001152417,"about_ca_system_score_gemma":0.00006518037,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001700534,"about_ca_topic_score_gemma":1.154995e-7,"domain_scores_codex":[0.9992617,0.00004618252,0.0002531969,0.0001050147,0.0002065906,0.0001273397],"domain_scores_gemma":[0.9990475,0.00005141426,0.0003091432,0.0001491003,0.0003782653,0.00006461165],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004031587,0.00008102039,0.02144779,0.000206322,0.00006922323,0.000007340916,0.002604006,0.4257102,0.001140505,0.04781054,0.0002172102,0.5006655],"study_design_scores_gemma":[0.001670126,0.001977968,0.01819999,0.001499925,0.00005116941,0.0004499729,0.000300547,0.8957253,0.05876778,0.01420509,0.00623166,0.0009204668],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07261573,0.00004839262,0.9265382,0.0001318057,0.0004738448,0.0000243409,6.691874e-7,0.00002779784,0.0001392362],"genre_scores_gemma":[0.917904,0.00006027045,0.08157149,0.000008593738,0.0003963331,4.56257e-7,9.448632e-7,0.000004095211,0.0000538664],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8452882,"threshold_uncertainty_score":0.3369388,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0178704966019305,"score_gpt":0.2256822878240932,"score_spread":0.2078117912221627,"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."}}