{"id":"W2007360238","doi":"10.4236/jsea.2014.78063","title":"Cloud Computing and Big Data: A Review of Current Service Models and Hardware Perspectives","year":2014,"lang":"en","type":"review","venue":"Journal of Software Engineering and Applications","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University","funders":"","keywords":"Cloud computing; Big data; Computer science; Data science; Analytics; Data processing; Process (computing); Service (business); Distributed computing; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006916531,0.0002382453,0.0009776599,0.0001751149,0.00008923495,0.00008096673,0.0007349919,0.00005725876,1.602383e-7],"category_scores_gemma":[0.00008562129,0.0001892478,0.000095105,0.000367951,0.00002866185,0.00004274352,0.000889805,0.0003684329,2.709154e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002389649,"about_ca_system_score_gemma":0.00006151482,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002342845,"about_ca_topic_score_gemma":1.530121e-7,"domain_scores_codex":[0.998603,0.00004618886,0.0006585597,0.0003494675,0.0002014925,0.0001412802],"domain_scores_gemma":[0.9981267,0.0003560332,0.0006574173,0.0005534862,0.0001851688,0.0001211838],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[1.742843e-7,0.00002053336,8.873054e-7,0.06712467,0.00007060639,7.307318e-7,0.0001333583,0.0006114598,2.308005e-8,0.001407338,0.0001859003,0.9304443],"study_design_scores_gemma":[0.00009469166,0.00002723726,0.000004810845,0.07800774,0.0003282101,0.0001975631,0.00002015321,0.03055098,3.675486e-8,0.0000738996,0.890485,0.0002096766],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000004677507,0.5628304,0.4368325,0.00005386067,0.00008051083,0.000160852,0.000009135013,0.00002566788,0.000002324238],"genre_scores_gemma":[0.0000496879,0.9826325,0.01673606,0.00002438519,0.0005238962,0.000007588805,0.000004715209,0.00001707777,0.000004121446],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9302346,"threshold_uncertainty_score":0.7717303,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06028829412712735,"score_gpt":0.3129061629185573,"score_spread":0.2526178687914299,"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."}}