{"id":"W2124963041","doi":"10.1109/hpcs.2005.14","title":"An Adaptive Generalized Scheduler for Grid Applications","year":2005,"lang":"en","type":"article","venue":"","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Computer science; Distributed computing; Grid; Scheduling (production processes); Workload; Overhead (engineering); Grid computing; Resource management (computing); Computer network; Mathematical optimization; 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":[0.000182865,0.00008939489,0.0001043577,0.00003693351,0.0001356881,0.0001342394,0.000686049,0.00003941284,0.00001327709],"category_scores_gemma":[0.000003171238,0.00007724977,0.00005438838,0.0001684634,0.00001325207,0.0002829124,0.00004535078,0.00003864546,0.0001167084],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000222019,"about_ca_system_score_gemma":0.00004043247,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001488743,"about_ca_topic_score_gemma":0.000009460769,"domain_scores_codex":[0.9991987,0.00003086916,0.0001638972,0.0002990797,0.0001041321,0.0002032796],"domain_scores_gemma":[0.999239,0.00004040846,0.00005033305,0.0004708717,0.0001034786,0.00009591088],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000006494477,0.0001206673,0.00004054682,0.000004943749,0.00001776094,2.049261e-7,0.0001295355,0.01428094,0.0003145947,0.9324508,0.01397589,0.03865759],"study_design_scores_gemma":[0.0003172928,0.0000684863,0.00008906432,0.000002631974,0.000002564006,0.000004188498,0.000009684616,0.6690195,0.0003838112,0.001847027,0.328122,0.000133736],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.000870202,0.00005948783,0.9931647,0.0007018166,0.0001446811,0.0003914167,0.00001388542,0.0003373206,0.00431656],"genre_scores_gemma":[0.5252125,9.010062e-7,0.4729712,0.000409287,0.0005857087,0.0001606309,0.00002666684,0.000005087133,0.0006280718],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9306038,"threshold_uncertainty_score":0.3150154,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02555682910698466,"score_gpt":0.2871465200802009,"score_spread":0.2615896909732162,"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."}}