{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002657076,0.0001176785,0.0001625814,0.00006778011,0.0001888806,0.0001787883,0.0002394486,0.00002614693,3.628265e-7],"category_scores_gemma":[0.0000238882,0.0001091251,0.00001222525,0.0002930926,0.00005188699,0.0009324318,0.0001560706,0.00007532683,0.000003527221],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001207966,"about_ca_system_score_gemma":0.00002472581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008324063,"about_ca_topic_score_gemma":5.83683e-7,"domain_scores_codex":[0.9988751,0.00008540553,0.0003167157,0.0003327837,0.0002433046,0.0001466695],"domain_scores_gemma":[0.9993169,0.000102293,0.0002077095,0.0001851396,0.0001216059,0.00006633616],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001268269,0.002289463,0.02373923,0.001138878,0.0002656888,0.0001710554,0.3236467,0.09922885,0.0001206428,0.2348103,0.000184707,0.3142776],"study_design_scores_gemma":[0.01162657,0.005976787,0.09205858,0.001274035,0.0001737965,0.001203662,0.160447,0.7119689,0.000126897,0.001595571,0.01173679,0.001811375],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7577743,0.0006679915,0.2392568,0.00006189242,0.0003687987,0.0002637356,5.814487e-7,0.00005053566,0.001555413],"genre_scores_gemma":[0.9978617,0.0001421878,0.001886767,0.00003830628,0.00001836663,0.00003169574,0.000001161078,0.000002854227,0.00001689086],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.61274,"threshold_uncertainty_score":0.4449994,"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."}}