{"id":"W4411086836","doi":"10.1109/rtas65571.2025.00039","title":"Scheduling Job Streams on Uniprocessors with Cold Start Delays","year":2025,"lang":"en","type":"article","venue":"","topic":"Scheduling and Optimization Algorithms","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; University of British Columbia; Institute for Computing, Information and Cognitive Systems","keywords":"STREAMS; Computer science; Scheduling (production processes); Job shop scheduling; Real-time computing; Mathematical optimization; Embedded system; Mathematics; Operating system","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001823678,0.001009928,0.002035273,0.000773333,0.001349071,0.001774313,0.002130903,0.0008798912,0.003167725],"category_scores_gemma":[0.00368566,0.00084516,0.0007560751,0.001321218,0.0008589812,0.001612763,0.001122293,0.001097122,0.000715181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001338392,"about_ca_system_score_gemma":0.001469489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003781901,"about_ca_topic_score_gemma":0.003401566,"domain_scores_codex":[0.9990116,0.0002341252,0.00007018481,0.0002284258,0.0001876732,0.000267963],"domain_scores_gemma":[0.9967099,0.001466307,0.0003741433,0.0003531524,0.0004356917,0.0006607871],"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":[0.002475811,0.0007609148,0.002632817,0.0003953274,0.0001027024,0.0008356001,0.0003352506,0.8919302,0.01922251,0.02095163,0.005347568,0.05500976],"study_design_scores_gemma":[0.00009155843,0.0002083428,0.0004590963,0.00001101496,0.00001327293,0.00006585054,0.00007514639,0.9863011,0.003278485,0.008080798,0.001398424,0.00001701503],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6104361,0.001671271,0.3737635,0.0006263263,0.0004798459,0.000578422,0.0005086554,0.001683387,0.01025261],"genre_scores_gemma":[0.8788741,0.0006045873,0.1136381,0.0001840303,0.0002235872,0.0002465422,0.0004632906,0.0002620427,0.005503749],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003781901,"threshold_uncertainty_score":0.01059705,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007363825996016616,"score_gpt":0.2123705624098098,"score_spread":0.2050067364137932,"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."}}