{"id":"W2529253071","doi":"10.1088/1742-6596/664/2/022038","title":"The Evolution of Cloud Computing in ATLAS","year":2015,"lang":"en","type":"article","venue":"Journal of Physics Conference Series","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Cloud computing; Computer science; Distributed computing; Grid computing; Server; Grid; Cloud testing; Data science; Cloud computing security; Operating system; Geography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002873033,0.0003094693,0.000440906,0.0009170002,0.00195568,0.005388461,0.001229015,0.0006419013,0.001737027],"category_scores_gemma":[0.00392254,0.0003365978,0.0003885527,0.003354309,0.001629269,0.003646493,0.002322198,0.001935049,0.0005178998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005273832,"about_ca_system_score_gemma":0.003914227,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01474133,"about_ca_topic_score_gemma":0.007299785,"domain_scores_codex":[0.9978064,0.0004625136,0.00007888059,0.0002903639,0.0009781175,0.0003837284],"domain_scores_gemma":[0.9979097,0.0004654159,0.00009511981,0.0004601038,0.0006319478,0.0004376008],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008712812,0.0001400861,0.01731448,0.0003751587,0.00007822876,0.0007796938,0.001136635,0.1023583,0.01248869,0.5854507,0.04877387,0.2302329],"study_design_scores_gemma":[0.0001358222,0.0003309873,0.01294282,0.0003337408,0.00007365645,0.000838454,0.001190252,0.2585198,0.03059576,0.1652192,0.5296,0.0002195286],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3411745,0.02550417,0.3687826,0.03559756,0.003378992,0.0005735543,0.002667408,0.01013839,0.2121829],"genre_scores_gemma":[0.8319387,0.006935393,0.1464781,0.001753134,0.0007920653,0.0001544004,0.001688341,0.0009896192,0.009270175],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01474133,"threshold_uncertainty_score":0.03826451,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03205794775462422,"score_gpt":0.2562352791293991,"score_spread":0.2241773313747749,"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."}}