{"id":"W2059813058","doi":"10.1016/j.osn.2013.01.001","title":"Joint scheduling and virtual topology design for sliding periodic traffic","year":2013,"lang":"en","type":"article","venue":"Optical Switching and Networking","topic":"Advanced Optical Network Technologies","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Network topology; Topology (electrical circuits); Logical topology; Heuristic; Scheduling (production processes); Distributed computing; Computer network; Mathematical optimization","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025195,0.0002363113,0.0003246967,0.00006664616,0.0002883079,0.0001549668,0.00009233871,0.0002111714,0.000006209721],"category_scores_gemma":[0.00009748864,0.0002175002,0.0000434264,0.0001117261,0.00009819128,0.0001675429,0.00008922147,0.0003977233,0.000004732481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003561274,"about_ca_system_score_gemma":0.000005455262,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001255778,"about_ca_topic_score_gemma":0.000001196833,"domain_scores_codex":[0.9986941,0.00001911414,0.0002789201,0.000312971,0.00007898415,0.0006159215],"domain_scores_gemma":[0.9990483,0.0006297459,0.00002770698,0.0001311149,0.00002058456,0.0001425436],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001167581,0.00001053952,0.00008068588,0.00005234997,0.000046477,0.000004918875,0.000173212,0.2695777,0.0083598,0.01281144,0.00004891165,0.7088224],"study_design_scores_gemma":[0.000328342,0.0001513176,0.0001324442,0.0001244031,0.00002535397,0.00003172489,0.0002567986,0.9922538,0.0002777043,0.005766447,0.0003322356,0.0003193644],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4811994,0.001875394,0.5156648,0.0001772092,0.0002131535,0.0002486964,1.987371e-7,0.0004915057,0.0001296678],"genre_scores_gemma":[0.8044317,0.000512664,0.1945941,0.00005924794,0.0002880148,0.0000664373,0.000001037144,0.00004036139,0.000006455631],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7226762,"threshold_uncertainty_score":0.8869402,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02208615078011445,"score_gpt":0.2244369355132144,"score_spread":0.2023507847331,"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."}}