{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003949748,0.0001331405,0.0001458991,0.00003944088,0.00003413594,0.0000195048,0.0001342922,0.0001282837,0.0001881469],"category_scores_gemma":[0.00002819431,0.0001176196,0.00004860038,0.0001451072,0.00003463948,0.00007543809,0.00003514244,0.0001216121,0.0001182664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005879551,"about_ca_system_score_gemma":0.000001400011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001507851,"about_ca_topic_score_gemma":0.000008248294,"domain_scores_codex":[0.9992894,0.000003289194,0.0001438009,0.0001486263,0.00007130623,0.0003435981],"domain_scores_gemma":[0.999615,0.0001259988,0.00001159301,0.0001865752,0.00002312345,0.00003769778],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001834044,0.00007374906,0.000286398,0.00006415862,0.0002527717,0.000008305044,0.00019482,0.2129562,0.002604615,0.6005363,0.06942771,0.1135766],"study_design_scores_gemma":[0.0002781196,0.00007074463,0.0001898201,0.00001727753,0.00001048346,0.000001787115,0.0001386772,0.9872495,0.00455697,0.005349867,0.001908606,0.0002281512],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05864492,0.001575951,0.6954165,0.001185769,0.0006953483,0.0007883351,0.00001485416,0.008178724,0.2334996],"genre_scores_gemma":[0.9428381,0.00006954581,0.05588309,0.00007778736,0.0000835645,0.00003234264,0.000001566266,0.00003113661,0.0009829093],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8841931,"threshold_uncertainty_score":0.4796387,"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."}}