{"id":"W2147949471","doi":"10.1109/lcn.1993.591251","title":"Error control in the Xpress transfer protocol","year":2002,"lang":"en","type":"article","venue":"","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Handshake; Computer science; Synchronizing; Network packet; Transfer (computing); Ethernet; Protocol (science); Computer network; FIFO (computing and electronics); Control (management); Real-time computing; Embedded system; Operating system; Telecommunications","routes":{"ca_aff":true,"ca_fund":true,"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":[0.003218325,0.0006419607,0.0004150781,0.0007204706,0.0007569867,0.002004965,0.001456532,0.001041785,0.002627312],"category_scores_gemma":[0.008693277,0.00037043,0.0002738211,0.0006261145,0.001294444,0.003438272,0.001436653,0.001582087,0.0007494158],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006365266,"about_ca_system_score_gemma":0.0005688361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009061054,"about_ca_topic_score_gemma":0.0004668234,"domain_scores_codex":[0.9976646,0.0007175064,0.0001757772,0.0002330006,0.0009371354,0.0002719856],"domain_scores_gemma":[0.9946185,0.00283844,0.0005339818,0.001016849,0.000889495,0.0001026641],"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":[0.001689245,0.0002994594,0.009684829,0.0006212543,0.00009926096,0.001497182,0.001025663,0.1596765,0.05723258,0.2627941,0.01099036,0.4943896],"study_design_scores_gemma":[0.0002012048,0.0007572049,0.001461603,0.0001584568,0.0001537604,0.001692928,0.0001579038,0.7606651,0.09280496,0.08997419,0.05185967,0.0001130399],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08919931,0.00279289,0.8874653,0.0008835564,0.0004016175,0.0002100084,0.0000873877,0.00457678,0.01438318],"genre_scores_gemma":[0.853415,0.001810892,0.1304151,0.0003048674,0.0002560397,0.0002145951,0.0001553266,0.0002417511,0.0131865],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003218325,"threshold_uncertainty_score":0.01702034,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02426437000950026,"score_gpt":0.2406565213799267,"score_spread":0.2163921513704264,"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."}}