{"id":"W3018825982","doi":"10.1109/smartnets48225.2019.9069765","title":"Google Traces Analysis for Deep Machine Learning Cloud Elastic Model","year":2019,"lang":"en","type":"article","venue":"","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cistel Technology (Canada); Concordia University","funders":"","keywords":"Cloud computing; Computer science; Artificial intelligence; Deep learning; Operating system","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":[0.0003321432,0.0001270177,0.0002151832,0.0001906021,0.0001432149,0.0001463915,0.0006415134,0.00003556026,0.0000323432],"category_scores_gemma":[0.00002133991,0.0001005429,0.0002075213,0.0005878499,0.00001068666,0.00002555723,0.0002846904,0.0001048379,0.00008057119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002390389,"about_ca_system_score_gemma":0.00001054888,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003354303,"about_ca_topic_score_gemma":0.00002580731,"domain_scores_codex":[0.9988591,0.00003409938,0.0001906817,0.000422747,0.0002075425,0.00028582],"domain_scores_gemma":[0.9992507,0.0001671929,0.00007740086,0.0004015322,0.00003905697,0.0000641837],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000003378091,0.00003091323,0.002104226,0.00001379355,0.0001486096,5.762537e-7,0.0002951592,0.9770355,0.00002919856,0.01214212,0.00007112157,0.008125447],"study_design_scores_gemma":[0.0002557238,0.00007500226,0.0003552719,0.000003951643,0.00007971788,6.902644e-7,0.0000394297,0.9960543,0.00003556645,0.0007907163,0.002155317,0.0001543272],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1682608,0.0000864844,0.8256178,0.0003664451,0.0001382175,0.0001463708,4.110449e-7,0.0002353142,0.005148096],"genre_scores_gemma":[0.9296699,0.000001518073,0.05220787,0.0001667119,0.00004830863,0.000007362892,0.000002746527,0.000008091062,0.01788756],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.77341,"threshold_uncertainty_score":0.4100021,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0120719070192789,"score_gpt":0.2251382492569885,"score_spread":0.2130663422377096,"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."}}