{"id":"W2145206052","doi":"10.1109/infcom.1990.91338","title":"Perspectives on FDDI and DQDB MAN technologies","year":2002,"lang":"en","type":"article","venue":"","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bell (Canada)","funders":"","keywords":"Fiber Distributed Data Interface; Distributed-queue dual-bus; Computer network; Computer science; Queue; Local area network","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":[0.00003766147,0.00006485377,0.00006307781,0.00004938123,0.00007011495,0.00007528429,0.000245538,0.00003569809,0.00004534855],"category_scores_gemma":[0.00001436923,0.0000493453,0.00001630342,0.0001179758,0.00005461743,0.0001147929,0.00006470611,0.00007110744,0.00009152171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000870825,"about_ca_system_score_gemma":0.000001992756,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001151995,"about_ca_topic_score_gemma":0.000001702927,"domain_scores_codex":[0.9995121,0.00001032038,0.00005188991,0.0002250224,0.0000784758,0.0001222324],"domain_scores_gemma":[0.999667,0.00004864877,0.00001435713,0.0002303637,0.00001778032,0.00002177767],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[6.614713e-7,0.00001898216,0.00004649918,4.584559e-7,0.000003969848,0.000003653061,0.0002696355,0.00001098205,0.000007253718,0.4068797,0.003289822,0.5894684],"study_design_scores_gemma":[0.001239106,0.0006288736,0.001972059,0.00003230919,0.000009830375,0.00006016842,0.00521728,0.9109455,0.000355321,0.01223602,0.06668939,0.0006140778],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06499631,0.008937593,0.5068713,0.1135086,0.0004528692,0.0004615693,0.000001009912,0.006977315,0.2977934],"genre_scores_gemma":[0.991331,0.0002131999,0.005360863,0.0002684523,0.0000208446,0.000006876907,2.938181e-8,0.000002160919,0.002796529],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9263347,"threshold_uncertainty_score":0.2012243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01040320525515168,"score_gpt":0.1872554023747491,"score_spread":0.1768521971195974,"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."}}