{"id":"W3025579354","doi":"10.1109/smartcloud.2019.00010","title":"An Investigation into the Usage-trends of Canada’s Research Computing Clouds","year":2019,"lang":"en","type":"article","venue":"","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Cloud computing; Computer science; Utility computing; Domain (mathematical analysis); Resource (disambiguation); Data science; Service provider; Distributed computing; Service (business); Cloud computing security; Operating system; Computer network; Business","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002284674,0.00008386775,0.0001091268,0.0001310534,0.0002921245,0.0001122608,0.001494122,0.00002808275,0.00001801951],"category_scores_gemma":[0.00002244178,0.00005517015,0.00002757981,0.000899261,0.00007787426,0.00002804452,0.0006501115,0.0002039367,0.000009690754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009286409,"about_ca_system_score_gemma":0.000286989,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3150716,"about_ca_topic_score_gemma":0.1253775,"domain_scores_codex":[0.9980685,0.0003295002,0.0002229016,0.000319717,0.0007483949,0.0003109913],"domain_scores_gemma":[0.9985523,0.0002526746,0.00007377135,0.0008881355,0.0001439759,0.00008909271],"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":[0.000007921808,0.0001020706,0.03249697,0.00009419063,0.00006579186,0.00001073633,0.03467552,0.1904322,0.002585696,0.3007877,0.02380389,0.4149373],"study_design_scores_gemma":[0.0001273618,0.0001054266,0.0300792,0.00002542136,0.000001573098,0.0000016323,0.0009850207,0.96226,0.0009153993,0.001436604,0.003956301,0.0001060336],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9703822,0.00002633771,0.005055078,0.005143386,0.0002906627,0.0000979789,9.433846e-8,0.00006510366,0.01893919],"genre_scores_gemma":[0.9897823,2.726366e-7,0.004598061,0.0003726034,0.00007211871,8.94638e-7,7.073992e-7,0.000005236028,0.005167787],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7718278,"threshold_uncertainty_score":0.890582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02787765236066103,"score_gpt":0.2911548362006506,"score_spread":0.2632771838399896,"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."}}