{"id":"W2123122082","doi":"10.1002/cpe.753","title":"A performance study of job management systems","year":2004,"lang":"en","type":"article","venue":"Concurrency and Computation Practice and Experience","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Connaught Fund; University of Toronto","keywords":"Schedule; Job scheduler; Computer science; Grid; Grid computing; Strengths and weaknesses; Distributed computing; Supercomputer; Software; Domain (mathematical analysis); Component (thermodynamics); Empirical research; Operating system; Cloud computing","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007436083,0.0006155889,0.0005959319,0.002299462,0.0011546,0.001718693,0.001000552,0.0004808487,0.001583611],"category_scores_gemma":[0.02622165,0.0002641142,0.0003346603,0.002860031,0.0007283305,0.001229207,0.0007207206,0.0006730507,0.000328546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002115524,"about_ca_system_score_gemma":0.001406936,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005352549,"about_ca_topic_score_gemma":0.00216749,"domain_scores_codex":[0.992469,0.00297456,0.0005256454,0.0007392358,0.002498155,0.000793388],"domain_scores_gemma":[0.9575327,0.02657581,0.00316214,0.002352299,0.008500437,0.001876715],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.009024491,0.002621353,0.2498434,0.002238708,0.0005419475,0.001131924,0.003106885,0.3535808,0.04430851,0.0250465,0.02148411,0.2870713],"study_design_scores_gemma":[0.0002911579,0.004280712,0.1350476,0.0001176578,0.0001591965,0.0007282688,0.001969956,0.8061244,0.03270569,0.005868629,0.0125869,0.0001198149],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9842002,0.001259084,0.006258009,0.0003181384,0.00008756971,0.0001297443,0.0004674096,0.0003908869,0.006888896],"genre_scores_gemma":[0.9954358,0.0001318049,0.003419319,0.00001784363,0.00003071576,0.00003909264,0.0004084918,0.00003464338,0.0004823977],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007436083,"threshold_uncertainty_score":0.03932625,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02457581514154901,"score_gpt":0.3042657391978977,"score_spread":0.2796899240563487,"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."}}