{"id":"W2163287352","doi":"10.1109/infcom.1988.12922","title":"Connection-based media access for multichannel local and metropolitan area networks","year":2003,"lang":"en","type":"article","venue":"","topic":"Wireless Networks and Protocols","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Connection (principal bundle); Computer science; Computer network; Channel (broadcasting); Metropolitan area network; Broadband; Access method; Scheme (mathematics); Throughput; Local area network; Extension (predicate logic); Topology (electrical circuits); Wireless; Telecommunications; Engineering; Mathematics; Electrical 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":[0.0003730304,0.0001415564,0.0001763695,0.00006415261,0.0001872467,0.0002668945,0.0003737925,0.00009323281,0.0000351622],"category_scores_gemma":[0.0000777048,0.0001149028,0.00005300033,0.0002711677,0.000068419,0.0003698821,0.0000658971,0.00008717699,0.000001585314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004900364,"about_ca_system_score_gemma":0.00005169693,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007447353,"about_ca_topic_score_gemma":0.0001536164,"domain_scores_codex":[0.998895,0.00006620973,0.0001818111,0.0003489049,0.0001200679,0.0003880225],"domain_scores_gemma":[0.9986113,0.0007838213,0.00005579564,0.0002845719,0.00009955834,0.000164923],"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":[0.00004652716,0.0001154558,0.001903672,0.00004286206,0.00003692032,0.000005876493,0.00008044583,0.07808964,0.000007471827,0.8689021,0.007049921,0.04371911],"study_design_scores_gemma":[0.0008935689,0.00008387532,0.0002195196,0.00001571391,0.000004815301,0.000003012983,0.00004945905,0.9876366,0.0006783928,0.006711447,0.003524571,0.0001790555],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0002929385,0.0000947361,0.9953161,0.0003050449,0.0003438081,0.00229352,0.000001622647,0.0001180359,0.001234186],"genre_scores_gemma":[0.968214,0.000004230997,0.02897932,0.0008947087,0.00008724631,0.001750306,0.000003104576,0.000011235,0.00005583567],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9679211,"threshold_uncertainty_score":0.4685601,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03709171598471304,"score_gpt":0.2887226506422831,"score_spread":0.25163093465757,"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."}}