{"id":"W2905833213","doi":"10.1002/spe.2674","title":"Generic input template for cloud simulators: A case study of CloudSim","year":2018,"lang":"en","type":"article","venue":"Software Practice and Experience","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cloud computing; Software portability; Computer science; Interoperability; CloudSim; Cloud testing; Provisioning; Distributed computing; Orchestration; Service provider; Cloud computing security; Cloud management; Software deployment; Service (business); Software engineering; Operating system","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002901002,0.0006717246,0.0003832297,0.00113376,0.0009029153,0.002415635,0.001940673,0.001802007,0.005403306],"category_scores_gemma":[0.008547639,0.0005172399,0.0009991656,0.0009775725,0.001040274,0.001762839,0.002085874,0.001339707,0.00144104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001936773,"about_ca_system_score_gemma":0.001871284,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00583581,"about_ca_topic_score_gemma":0.005397408,"domain_scores_codex":[0.9978127,0.0008178314,0.0002161168,0.0001937798,0.0007480066,0.0002115829],"domain_scores_gemma":[0.9952841,0.002433021,0.00022243,0.001133832,0.0006960787,0.0002303957],"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":[0.001163881,0.001769197,0.03767334,0.002416204,0.0001618645,0.02235565,0.02152805,0.2478834,0.05195215,0.272628,0.05324448,0.2872237],"study_design_scores_gemma":[0.0001852322,0.0005204692,0.006895218,0.0007340229,0.0001270113,0.004253958,0.00335974,0.3970679,0.06072407,0.02420562,0.501767,0.0001596079],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2672932,0.0004029211,0.6427286,0.00216015,0.0002797146,0.002457365,0.003944828,0.01758006,0.06315316],"genre_scores_gemma":[0.6054397,0.0004087538,0.3580253,0.0003680112,0.000037816,0.001128391,0.005542548,0.004557513,0.0244921],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00583581,"threshold_uncertainty_score":0.01807588,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03160463196324759,"score_gpt":0.3193023593495062,"score_spread":0.2876977273862587,"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."}}