{"id":"W2162779423","doi":"10.1109/glocom.1989.64143","title":"A neural network implementation of an input access scheme in a high-speed packet switch","year":2003,"lang":"en","type":"article","venue":"","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Artificial neural network; Computer network; Network packet; Integrated Services Digital Network; Throughput; Packet switching; Asynchronous Transfer Mode; LAN switching; Queue; Fast packet switching; Burst switching; Algorithm; Real-time computing; Processing delay; Transmission delay; Telecommunications; Artificial intelligence","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":[0.0002428994,0.0002390752,0.0001868531,0.0001181695,0.0003413993,0.0004938721,0.0008132743,0.0006970712,0.003720917],"category_scores_gemma":[0.000585584,0.0001224863,0.0002206141,0.0002097335,0.0003347496,0.0005202175,0.0002885214,0.0006507241,0.0003947114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005957945,"about_ca_system_score_gemma":0.0004562926,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005262604,"about_ca_topic_score_gemma":0.006192561,"domain_scores_codex":[0.9998659,0.00003382326,0.00000646133,0.0000244689,0.00004390023,0.00002544574],"domain_scores_gemma":[0.9998137,0.00006621397,0.00001504804,0.00001975682,0.00007065434,0.00001465181],"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":[0.0002678816,0.0002334636,0.001117217,0.00009083987,0.0000649547,0.0002564255,0.00009161767,0.8039906,0.03013251,0.02067441,0.002595344,0.1404848],"study_design_scores_gemma":[0.00001165978,0.00005207854,0.0001223508,0.000003483974,0.000008019611,0.00001386754,0.000005131978,0.9934035,0.004385565,0.001389904,0.0005997488,0.000004724848],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1318727,0.0002622386,0.8446019,0.0007144725,0.0002156429,0.000067865,0.00009871098,0.002236062,0.01993046],"genre_scores_gemma":[0.8631256,0.0001213106,0.1263109,0.0001428541,0.00002578713,0.00007854898,0.00006341217,0.00002686005,0.01010464],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005262604,"threshold_uncertainty_score":0.01244766,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02810688823817323,"score_gpt":0.3262222298796397,"score_spread":0.2981153416414665,"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."}}