{"id":"W2888952684","doi":"10.5539/mas.v12n9p234","title":"An Insight to Middleware Technologies used for Cloud Computing Frameworks: From the Perspective of Successful Enterprise Application Integration","year":2018,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Middleware (distributed applications); Cloud computing; Computer science; Enterprise application integration; Perspective (graphical); Data science; Architecture; World Wide Web; Software engineering; Database; Enterprise architecture; Operating system; Enterprise systems engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007454156,0.0001659788,0.0001765358,0.0001659315,0.0006807561,0.0003237421,0.00329365,0.00009757106,5.790824e-7],"category_scores_gemma":[0.0001061201,0.0001184558,0.00004453448,0.00124474,0.0005750091,0.00008901017,0.0008276221,0.0002042751,0.000008156755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001373487,"about_ca_system_score_gemma":0.00006502862,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001268924,"about_ca_topic_score_gemma":0.00006365804,"domain_scores_codex":[0.9979936,0.00002795218,0.0002672668,0.0008828772,0.0004938236,0.0003344717],"domain_scores_gemma":[0.9979171,0.0002188496,0.0001975014,0.001238661,0.0003660935,0.00006179375],"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":[0.00005216231,0.0002478852,0.0006957074,0.00001175659,0.00002328498,4.092545e-7,0.09396172,0.01402903,0.218441,0.2242602,0.0001513603,0.4481255],"study_design_scores_gemma":[0.000145643,0.0001149302,0.0005610105,0.00003835167,0.000005817744,2.945793e-7,0.003874931,0.9077961,0.04099604,0.04611024,0.0002044886,0.0001520967],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.233867,0.00003215142,0.7631803,0.001505975,0.0001719044,0.0006549603,0.000002962113,0.0002981703,0.0002866003],"genre_scores_gemma":[0.9240814,4.595518e-7,0.07538407,0.0003113609,0.0001561092,0.00005272388,0.000001404998,0.000008363761,0.000004062565],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8937671,"threshold_uncertainty_score":0.6120476,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01340369231127589,"score_gpt":0.2693817809646399,"score_spread":0.255978088653364,"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."}}