{"id":"W2146798765","doi":"10.1109/cnsr.2007.36","title":"Hybrid Maximal Matching for Input Buffered Crossbar Switches","year":2007,"lang":"en","type":"article","venue":"","topic":"Interconnection Networks and Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Crossbar switch; Computer science; Scheduling (production processes); Bottleneck; Computer network; Distributed computing; Parallel computing; Embedded system; Mathematical optimization; Mathematics; Telecommunications","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":[0.0008134532,0.0001086069,0.0001416096,0.00006666224,0.0001848315,0.0002794808,0.0004270239,0.00004257949,0.00002501564],"category_scores_gemma":[0.0000162732,0.00008896831,0.00009717019,0.00008561836,0.0000139837,0.0003133221,0.0000956673,0.00007512671,0.00004594833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000374978,"about_ca_system_score_gemma":0.00001986584,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009888905,"about_ca_topic_score_gemma":0.00007556481,"domain_scores_codex":[0.9989356,0.00001231991,0.0002809646,0.0002818258,0.0001384243,0.0003508803],"domain_scores_gemma":[0.9993427,0.0001359136,0.00006170484,0.0002940467,0.0000876921,0.00007788026],"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":[0.0001255698,0.0001650369,0.001294749,0.0001052801,0.000103265,0.00005298954,0.003080197,0.0009618254,0.02000784,0.8248482,0.0256608,0.1235943],"study_design_scores_gemma":[0.003411322,0.0008441327,0.006350938,0.0001798894,0.00001926102,0.0008217039,0.000718291,0.4788835,0.215952,0.1207387,0.1701978,0.001882478],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1296029,0.00002069224,0.8632105,0.000283442,0.00120192,0.0001664958,9.942324e-7,0.0001902704,0.005322795],"genre_scores_gemma":[0.9620982,7.199646e-7,0.03461354,0.0005796499,0.0003651736,0.00001155365,0.000001343022,0.000009021152,0.002320742],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8324953,"threshold_uncertainty_score":0.3628022,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02034374395076831,"score_gpt":0.2609183732250762,"score_spread":0.2405746292743079,"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."}}