{"id":"W2336850053","doi":"10.1023/a:1008198310125","title":"Priority Scheduling Versus Pre-Run-Time Scheduling","year":2000,"lang":"en","type":"article","venue":"Real-Time Systems","topic":"Real-Time Systems Scheduling","field":"Computer Science","cited_by":98,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University; York University","funders":"","keywords":"Computer science; Earliest deadline first scheduling; Scheduling (production processes); Deadline-monotonic scheduling; Dynamic priority scheduling; Rate-monotonic scheduling; Fixed-priority pre-emptive scheduling; Distributed computing; Real-time computing; Operations management; Engineering; Schedule; 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":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003052412,0.0009699436,0.001475866,0.000443395,0.0007298173,0.001691924,0.002977578,0.0006154356,0.0006386522],"category_scores_gemma":[0.0002503794,0.0009768726,0.0004808415,0.001610177,0.0001468257,0.00253019,0.000453511,0.0007104764,0.01481564],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006007502,"about_ca_system_score_gemma":0.0005800998,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002213391,"about_ca_topic_score_gemma":0.000008125487,"domain_scores_codex":[0.9915032,0.0009478774,0.001880254,0.002070914,0.001736718,0.001861051],"domain_scores_gemma":[0.994193,0.0007433057,0.0006867265,0.003152875,0.0004000976,0.0008239874],"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":[0.001508638,0.001556144,0.002043343,0.002750924,0.002593077,0.001231926,0.01057578,0.5121921,0.3143225,0.03780198,0.004530232,0.1088934],"study_design_scores_gemma":[0.003016772,0.0003777348,0.0006499846,0.0009885149,0.00008965865,0.0003734407,0.0001312637,0.9835441,0.001647871,0.000134986,0.007297688,0.001747985],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7981673,0.001825952,0.03899543,0.0003744805,0.004285762,0.003084203,0.00002797069,0.004513459,0.1487254],"genre_scores_gemma":[0.8742175,0.0002358483,0.1012959,0.0000450943,0.002517957,0.0002335018,0.00004877472,0.0002531385,0.02115233],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.471352,"threshold_uncertainty_score":0.9993444,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01473515877034779,"score_gpt":0.2555779986494441,"score_spread":0.2408428398790963,"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."}}