{"id":"W2153932002","doi":"10.1109/glocom.1991.188684","title":"Adaptive routing for lightwave shufflenet under unbalanced loads","year":2002,"lang":"en","type":"article","venue":"","topic":"Optical Network Technologies","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University; EnGlobe (Canada)","funders":"","keywords":"Computer science; Node (physics); Network topology; Routing (electronic design automation); Ideal (ethics); State (computer science); Computer network; Matrix (chemical analysis); Traffic flow (computer networking); Topology (electrical circuits); Algorithm; Mathematics; Combinatorics; Engineering; Structural 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004089645,0.0003303555,0.0002889266,0.0005989956,0.0004356866,0.0005864674,0.0004827321,0.0003956687,0.001168159],"category_scores_gemma":[0.00122877,0.0001376486,0.0002052353,0.000518514,0.0003246983,0.001063772,0.0004303841,0.0002853449,0.0001396091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007333195,"about_ca_system_score_gemma":0.0003053903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001693679,"about_ca_topic_score_gemma":0.002337375,"domain_scores_codex":[0.999858,0.00004404906,0.000006329627,0.00001941221,0.00004954859,0.00002255101],"domain_scores_gemma":[0.9995044,0.0002654404,0.0000816089,0.00005325282,0.00007127966,0.0000239465],"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":[0.0001688523,0.00003058529,0.0005991551,0.00002474908,0.00001886328,0.00008098673,0.00003519949,0.9527985,0.006487731,0.01485367,0.0005173807,0.02438419],"study_design_scores_gemma":[0.000004459294,0.00001647916,0.0001075582,7.031063e-7,0.000002389762,0.00001149614,0.000005569531,0.9944748,0.0007124987,0.004476387,0.000184897,0.000002713118],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3168422,0.0002065512,0.6768485,0.0003387897,0.0000579282,0.00007533296,0.000110537,0.0003736847,0.0051465],"genre_scores_gemma":[0.9506943,0.000176587,0.0455204,0.00003597796,0.00003386295,0.00003797625,0.0000827305,0.00003947858,0.003378647],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001693679,"threshold_uncertainty_score":0.005320609,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02770701476356259,"score_gpt":0.2026100048156035,"score_spread":0.1749029900520409,"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."}}