{"id":"W2127451403","doi":"10.1109/icwc.1992.200720","title":"A performance comparison of some combining schemes for finite-buffer ARQ systems in a Rayleigh-fading channel","year":2003,"lang":"en","type":"article","venue":"","topic":"Coding theory and cryptography","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Automatic repeat request; Rayleigh fading; Computer science; Fading; Selective Repeat ARQ; Channel (broadcasting); Throughput; Decoding methods; Algorithm; Hybrid automatic repeat request; Selection (genetic algorithm); Computer network; Wireless; Telecommunications link; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000772655,0.0001384079,0.0003262543,0.0002980842,0.0001073547,0.0000670369,0.0004526773,0.00006081637,0.000004598161],"category_scores_gemma":[0.00007205583,0.0001267866,0.00008583185,0.0005392362,0.00004042505,0.0004307055,0.00006648952,0.0001107048,0.000004333669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001694257,"about_ca_system_score_gemma":0.00003040283,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006758828,"about_ca_topic_score_gemma":0.000001732716,"domain_scores_codex":[0.9987983,0.00008079629,0.0003771193,0.0002743763,0.0001550852,0.0003143067],"domain_scores_gemma":[0.9990331,0.0004139278,0.0001203034,0.0003241163,0.0000568799,0.00005166981],"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":[0.00002903444,0.0001568716,0.01511514,0.000177198,0.00002021577,6.831908e-7,0.001764902,0.002670613,0.0007754553,0.9774455,0.0000763031,0.001768083],"study_design_scores_gemma":[0.001527147,0.000392412,0.0004432916,0.0003187155,0.000008418106,0.000004016904,0.0006405931,0.9609675,0.02145129,0.01188875,0.002015949,0.0003419576],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6523481,0.000470984,0.3442109,0.00003809119,0.0004553622,0.0003176499,0.000001080367,0.00009731424,0.002060507],"genre_scores_gemma":[0.9939632,0.000008672711,0.005827176,0.00004868048,0.00001793245,0.00006423086,9.259863e-7,0.000008062786,0.00006110148],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9655567,"threshold_uncertainty_score":0.5170206,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03902344120105891,"score_gpt":0.2684591029456134,"score_spread":0.2294356617445545,"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."}}