{"id":"W2761656814","doi":"10.1080/10798587.2017.1316084","title":"Cloud Computing for Big Data Processing","year":2017,"lang":"en","type":"article","venue":"Intelligent Automation & Soft Computing","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Computer science; Cloud computing; Big data; Field (mathematics); Data science; Data processing; Database; Data mining; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001235105,0.0008759663,0.0009355066,0.001632306,0.001078355,0.004126689,0.001156195,0.001577959,0.02114186],"category_scores_gemma":[0.00252447,0.0003309106,0.0005965672,0.00329292,0.0007144565,0.005043023,0.002013134,0.003586448,0.01031135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001230194,"about_ca_system_score_gemma":0.001959788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001198972,"about_ca_topic_score_gemma":0.001696507,"domain_scores_codex":[0.9985313,0.0002140235,0.00009023567,0.0002191532,0.000776527,0.0001687138],"domain_scores_gemma":[0.9984641,0.0003635597,0.00009522331,0.0002627147,0.0005389528,0.0002754613],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001060551,0.00005736737,0.0003934071,0.001109639,0.00005115231,0.0001515158,0.00006999338,0.001618954,0.003328994,0.09685801,0.6031012,0.2931538],"study_design_scores_gemma":[0.00001442712,0.0000434321,0.0005901791,0.0003350495,0.00001780786,0.0003473038,0.00005406058,0.008876798,0.001261751,0.04820469,0.9402285,0.00002594882],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.005756764,0.5168819,0.1096572,0.07404463,0.1181321,0.0004554366,0.00161161,0.003066416,0.1703941],"genre_scores_gemma":[0.09628312,0.4574617,0.08950385,0.01681707,0.1142543,0.0003433943,0.004844049,0.001868453,0.218624],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02114186,"threshold_uncertainty_score":0.07072657,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09804180276383644,"score_gpt":0.3285695099122992,"score_spread":0.2305277071484628,"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."}}