{"id":"W2322726980","doi":"10.1007/978-0-387-78446-5_9","title":"Preemption and Share Control in Parallel Grid Job Scheduling","year":2008,"lang":"en","type":"book-chapter","venue":"","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Preemption; Computer science; Job scheduler; Provisioning; Grid; Scheduling (production processes); Distributed computing; Reservation; Operating system; Computer network; Cloud computing; Engineering; Operations 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005951656,0.0007801856,0.0006375986,0.0002956184,0.0005264437,0.001356669,0.001286264,0.0006336715,0.004023678],"category_scores_gemma":[0.001084234,0.0004429744,0.0003624404,0.000921423,0.001070587,0.00217952,0.0007012235,0.002116585,0.001228771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007445318,"about_ca_system_score_gemma":0.0007412332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001173156,"about_ca_topic_score_gemma":0.001378458,"domain_scores_codex":[0.9996573,0.00004845121,0.00001320191,0.00005507988,0.0001913959,0.00003454894],"domain_scores_gemma":[0.9996856,0.0001555056,0.00001625719,0.00008180754,0.00004264564,0.00001819302],"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":[0.0002867377,0.0001672989,0.0001990382,0.0003410768,0.00003747667,0.0001431229,0.0003723188,0.08335871,0.01224005,0.4778734,0.02901005,0.3959707],"study_design_scores_gemma":[0.00005783081,0.0001569205,0.0005485053,0.0001026811,0.00004533395,0.0002596207,0.00009455258,0.3016986,0.01156901,0.4540864,0.2313283,0.00005224169],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01294672,0.02183975,0.8543261,0.00134643,0.00195699,0.0001185838,0.00007645839,0.00153009,0.1058589],"genre_scores_gemma":[0.3509143,0.02009583,0.3094918,0.001081614,0.002845207,0.0003688352,0.0002659791,0.001512212,0.3134242],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004023678,"threshold_uncertainty_score":0.01346052,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02219177948169931,"score_gpt":0.2219474314870551,"score_spread":0.1997556520053558,"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."}}