{"id":"W109495677","doi":"10.5555/2048416.2048436","title":"Resource management on clouds and grids: challenges and answers","year":2011,"lang":"en","type":"article","venue":"Communications and Networking Symposium","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Resource management (computing); Cloud computing; Human resource management system; Resource Management System; Resource allocation; Resource (disambiguation); Knowledge management; Distributed computing; Human resource management","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":[0.0003894129,0.0001266163,0.0001342793,0.00005965934,0.0003647006,0.0001132561,0.0007198511,0.00004936367,3.346713e-7],"category_scores_gemma":[0.000001076701,0.0001190391,0.00001831277,0.0001089506,0.0001236334,0.00008219402,0.0008797753,0.0001262041,0.000002073418],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000946405,"about_ca_system_score_gemma":0.000004255458,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001175561,"about_ca_topic_score_gemma":0.000005860727,"domain_scores_codex":[0.9991198,0.0001470174,0.0001672217,0.0002924151,0.00008305174,0.0001904987],"domain_scores_gemma":[0.9985512,0.0001312947,0.00007503304,0.001139052,0.0000184361,0.00008501626],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001304548,0.0001107811,0.001001242,0.00007686834,0.0000831326,0.000006617329,0.009155417,0.00001743287,0.0000106669,0.5689975,0.0009360409,0.4195912],"study_design_scores_gemma":[0.0007560287,0.0003992732,0.0144807,0.0006872469,0.00004708115,0.0000853714,0.0008770992,0.05106244,0.000008210501,0.007311854,0.9236959,0.0005888534],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0244306,0.1969293,0.0392688,0.01416262,0.001102952,0.001074794,0.000007490967,0.0008844928,0.7221389],"genre_scores_gemma":[0.9608921,0.03328229,0.005430604,0.0001801781,0.00006050179,0.00001606762,0.000004410134,0.000008081792,0.0001257653],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9364615,"threshold_uncertainty_score":0.4854275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0622384702459725,"score_gpt":0.2385648624810584,"score_spread":0.1763263922350859,"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."}}