{"id":"W3098178495","doi":"10.1051/epjconf/202024507034","title":"External Resources: Clouds and HPCs for the expansion of the ATLAS production system at the Tokyo regional analysis center","year":2020,"lang":"en","type":"article","venue":"EPJ Web of Conferences","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Particle Physics","funders":"Science and Technology Facilities Council","keywords":"Large Hadron Collider; Cloud computing; Atlas (anatomy); Data center; Center (category theory); Grid; Economic shortage; Computer science; Operating system; Database; Physics; Particle physics; Geography; Geology","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":[0.0005005689,0.0001023171,0.0002168711,0.00002540585,0.000239513,0.00008424254,0.0009152923,0.00003497499,0.000004485247],"category_scores_gemma":[0.00005057451,0.00004536277,0.000156612,0.0004054044,0.0001711531,0.00006162571,0.0002381136,0.00007079948,0.000001042796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001051557,"about_ca_system_score_gemma":0.0001333088,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000901867,"about_ca_topic_score_gemma":0.00004612363,"domain_scores_codex":[0.9987363,0.0001891913,0.0003147547,0.0002657126,0.0003697413,0.0001243672],"domain_scores_gemma":[0.9987547,0.0002845558,0.0003540195,0.000408237,0.000164256,0.00003424477],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001083915,0.000302555,0.3826131,0.002490644,0.00418648,0.000006777461,0.05949065,0.05413019,0.01644027,0.372557,0.06437355,0.04232488],"study_design_scores_gemma":[0.001139255,0.0004273053,0.08123037,0.0008747505,0.0005604751,0.00006305617,0.004609677,0.7638425,0.005840986,0.0006321048,0.1403578,0.000421755],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8832614,0.001159737,0.1022998,0.01126287,0.0006600969,0.0005367883,0.00003047329,0.00004354108,0.0007452138],"genre_scores_gemma":[0.9994037,0.00001992168,0.0001617067,0.00007070829,0.0001760205,0.00001112992,0.00000280672,0.000002544435,0.0001514911],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7097123,"threshold_uncertainty_score":0.184984,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03464840275469409,"score_gpt":0.2408581422327753,"score_spread":0.2062097394780812,"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."}}