{"id":"W2138618691","doi":"10.1109/cca.2005.1507246","title":"Universal scheduler design on uniprocessors in supervisory control of discrete-event systems framework","year":2005,"lang":"en","type":"article","venue":"","topic":"Real-Time Systems Scheduling","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Supervisory control; Scheduling (production processes); Supervisory control theory; Event (particle physics); Task (project management); Processor scheduling; Control (management); Distributed computing; Real-time computing; Mathematical optimization; Operating system; Artificial intelligence; Mathematics; Engineering","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":[0.001040489,0.0002275243,0.0004277213,0.0002955352,0.00005114212,0.0001081109,0.001052395,0.0001817836,0.00002570292],"category_scores_gemma":[0.0001100145,0.0001920756,0.00008514344,0.000613892,0.0000494396,0.0007451921,0.00009834854,0.0002814804,0.0001124277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001719594,"about_ca_system_score_gemma":0.0001603292,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002586606,"about_ca_topic_score_gemma":0.00001481168,"domain_scores_codex":[0.9976176,0.000387647,0.0005754621,0.0004891704,0.0005102344,0.0004199134],"domain_scores_gemma":[0.9983219,0.0005203718,0.0001800556,0.0007311668,0.0001120807,0.000134411],"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":[0.00005945387,0.0001831736,0.002036631,0.00009047471,0.00004959465,0.00002055856,0.0013727,0.6264861,0.001075183,0.3664276,0.0000792739,0.002119299],"study_design_scores_gemma":[0.001191827,0.0002184968,0.0009701899,0.0005657707,0.000008698951,0.00001070929,0.000700099,0.9918923,0.00313862,0.0006551927,0.0002999971,0.0003480491],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04576251,0.0002888074,0.9500085,0.0007223595,0.0002496516,0.0005073227,0.000001272443,0.0001248635,0.002334671],"genre_scores_gemma":[0.9334807,0.000008621933,0.0659858,0.0001153884,0.00008561749,0.00002088833,5.110501e-7,0.0000172102,0.0002852986],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8877181,"threshold_uncertainty_score":0.7832616,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02619612673382156,"score_gpt":0.251788460452958,"score_spread":0.2255923337191365,"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."}}