{"id":"W2152178992","doi":"10.1007/11422778_8","title":"Batch Scheduling Algorithms for Optical Burst Switching Networks","year":2005,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Advanced Optical Network Technologies","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Reservation; Scheduling (production processes); Distributed computing; Real-time computing; Dynamic priority scheduling; Algorithm; Computer network; Parallel computing; Mathematical optimization; Quality of service; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003523081,0.0005460217,0.000547241,0.0003362629,0.0001694323,0.00018349,0.001157727,0.0006649941,0.000008252327],"category_scores_gemma":[0.0001309418,0.0005295725,0.0001279833,0.0003049853,0.000442812,0.0002511215,0.0004086541,0.001481894,0.0000102743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003690186,"about_ca_system_score_gemma":0.00005365247,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":6.55573e-7,"about_ca_topic_score_gemma":0.00001494632,"domain_scores_codex":[0.9973562,0.0000028346,0.0004626937,0.0008553209,0.0003894069,0.00093355],"domain_scores_gemma":[0.998303,0.0007565918,0.00006872717,0.0006432798,0.00009716941,0.0001312382],"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":[0.000001809474,0.000002594588,0.000001643196,0.00001578629,0.000006347942,0.000007623707,0.00001232101,0.5516755,0.00002309332,0.003409173,0.000002482869,0.4448416],"study_design_scores_gemma":[0.0001580195,0.00005795664,0.000004581785,0.0003341938,0.00001170805,0.00001996964,1.897262e-7,0.9354239,0.0001826745,0.0620583,0.001181972,0.0005665133],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00007982509,0.001826584,0.9940625,0.0002513874,0.001536376,0.0004378088,0.000003205049,0.0008937326,0.0009085978],"genre_scores_gemma":[0.04461397,0.0002002357,0.9531047,0.0001972803,0.001718714,0.00002195797,0.000006148864,0.0001032484,0.00003372876],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4442751,"threshold_uncertainty_score":0.9997156,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0146022244154865,"score_gpt":0.2444799589020912,"score_spread":0.2298777344866047,"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."}}