{"id":"W1975668354","doi":"10.1109/tmc.2003.1233528","title":"Modeling and analysis of wap performance over wireless links","year":2003,"lang":"en","type":"article","venue":"IEEE Transactions on Mobile Computing","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Goodput; Computer science; Wireless Application Protocol; Wireless; Channel (broadcasting); Computer network; Rayleigh fading; Network packet; Wireless network; Fading; General Packet Radio Service; Throughput; Telecommunications","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":[0.0005732934,0.000144017,0.0002933457,0.0005094174,0.0003301114,0.00008233474,0.0006135941,0.0001170411,0.00001506285],"category_scores_gemma":[0.000003937594,0.0001483711,0.0001226386,0.001840071,0.00006613834,0.0002551108,0.00001350017,0.0005581941,0.000003278236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004928955,"about_ca_system_score_gemma":0.00005428514,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002797614,"about_ca_topic_score_gemma":0.00001283652,"domain_scores_codex":[0.998436,0.0001937302,0.0003825189,0.0003648734,0.0003357402,0.0002871421],"domain_scores_gemma":[0.9985063,0.0003151238,0.00008350667,0.0008524933,0.0001495161,0.0000930579],"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":[0.00000319339,0.00007657195,0.0002640348,0.00001649743,0.0001245708,4.217056e-7,0.0003928133,0.9000951,0.0003067201,0.0004155503,0.000001190009,0.09830336],"study_design_scores_gemma":[0.000198847,0.0000585589,0.0002896241,0.00004172692,0.00004872798,0.000002745482,0.00003567838,0.9956771,0.003470665,0.00001586499,0.00002216668,0.0001383355],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4576726,0.00007465114,0.5419229,0.00001051607,0.00006607926,0.00009204071,0.000001027401,0.00005127556,0.0001089089],"genre_scores_gemma":[0.9868808,0.0002343701,0.01278214,0.00003561608,0.000007741803,0.00001764267,9.138462e-7,0.00001178021,0.00002900086],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5292082,"threshold_uncertainty_score":0.6050397,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02438602890010434,"score_gpt":0.2842930052340903,"score_spread":0.259906976333986,"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."}}