{"id":"W2325800416","doi":"10.1147/jrd.2016.2518438","title":"Touchless and always-on cloud analytics as a service","year":2016,"lang":"en","type":"article","venue":"IBM Journal of Research and Development","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Cloud computing; Visibility; Computer science; Virtualization; Analytics; Context (archaeology); Automation; Virtual machine; Service (business); Operating system; Data science; Engineering","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":[0.001161896,0.0007247021,0.0005594066,0.0009451727,0.001089222,0.003120572,0.002007386,0.0008180454,0.002844788],"category_scores_gemma":[0.004564421,0.0005633848,0.0003300772,0.0007390048,0.00134943,0.004519402,0.002903103,0.001247825,0.0009955885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00112686,"about_ca_system_score_gemma":0.001382025,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004969794,"about_ca_topic_score_gemma":0.005033247,"domain_scores_codex":[0.9974548,0.0003360873,0.00008258928,0.0005083624,0.001264112,0.0003540568],"domain_scores_gemma":[0.9970015,0.0004062376,0.0002950472,0.001393928,0.0005335762,0.0003697839],"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":[0.00279411,0.001062988,0.05852669,0.0003831331,0.0002644376,0.001296544,0.002902602,0.09066865,0.2145617,0.06707913,0.05255321,0.5079067],"study_design_scores_gemma":[0.00009950314,0.0004258818,0.02131434,0.0001007325,0.00006988506,0.0008356521,0.0004821292,0.8405001,0.0610774,0.03004636,0.04483824,0.000209901],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3392605,0.0008078838,0.5609591,0.001276876,0.0003093474,0.0004528102,0.0009141768,0.06519235,0.03082688],"genre_scores_gemma":[0.9403009,0.0001825112,0.05464022,0.0003407871,0.00006822708,0.00007448087,0.0003771001,0.0007766172,0.003239152],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004969794,"threshold_uncertainty_score":0.009881735,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06732900560666312,"score_gpt":0.3310926539099306,"score_spread":0.2637636483032675,"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."}}