{"id":"W1973201762","doi":"10.1134/s1990478910040010","title":"Structural properties of optimal schedules with preemption","year":2010,"lang":"en","type":"article","venue":"Journal of Applied and Industrial Mathematics","topic":"Scheduling and Optimization Algorithms","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Russian Foundation for Basic Research","keywords":"Preemption; Mathematical optimization; Dynamic priority scheduling; Rate-monotonic scheduling; Fair-share scheduling; Computer science; Scheduling (production processes); Two-level scheduling; Schedule; Job shop scheduling; Nurse scheduling problem; Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.000168502,0.00008474129,0.0001966955,0.00006712866,0.00002455847,0.00002985944,0.00006800979,0.0001018766,0.00001446376],"category_scores_gemma":[0.00002761497,0.00005454392,0.00002209019,0.00006855666,0.00005603833,0.00008432192,0.000008217399,0.0003122741,4.51399e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005316016,"about_ca_system_score_gemma":0.00002239742,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":2.860788e-7,"about_ca_topic_score_gemma":2.965828e-7,"domain_scores_codex":[0.9994256,0.000003013471,0.0003088,0.00003641782,0.0001531296,0.00007303839],"domain_scores_gemma":[0.999638,0.0000184494,0.00016354,0.00006269402,0.00006768614,0.00004965283],"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":[0.000835464,0.0002333028,0.000754097,0.0009477236,0.0007104811,0.000007823754,0.008817753,0.5936651,0.315409,0.04057417,0.0001356049,0.03790946],"study_design_scores_gemma":[0.006067852,0.00057376,0.0002077105,0.0006849983,0.0002930614,0.0003015741,0.005248573,0.5664604,0.4172363,0.002199688,0.0001393172,0.0005868325],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957286,0.00003312635,0.003652367,0.00001509738,0.0001869611,0.0000757462,0.00000125154,0.00001679338,0.0002900491],"genre_scores_gemma":[0.827683,0.00001101626,0.1720544,0.000001787016,0.0002332185,9.41396e-7,3.476936e-7,0.00001129882,0.000004058577],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.168402,"threshold_uncertainty_score":0.2224236,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02527500324543937,"score_gpt":0.2040464063896255,"score_spread":0.1787714031441861,"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."}}