{"id":"W2064476164","doi":"10.1109/mnet.2007.4305175","title":"A Generic Framework for Modeling MAC Protocols in Wireless Broadband Access Networks","year":2007,"lang":"en","type":"article","venue":"IEEE Network","topic":"Wireless Networks and Protocols","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Computer network; Throughput; Wireless broadband; Frame (networking); Simple (philosophy); Broadband; Broadband networks; Wireless; Wireless network; Wireless distribution system; Protocol (science); Distributed computing; Process (computing); Heterogeneous network; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002125624,0.0004482139,0.0006107962,0.0001561472,0.0003287233,0.0006957354,0.002356393,0.0005015262,0.000006360645],"category_scores_gemma":[0.00002478085,0.000436775,0.0001999463,0.001864485,0.00005247819,0.0007270268,0.0003264105,0.0006947923,0.000006538407],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001242164,"about_ca_system_score_gemma":0.0001220688,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004515211,"about_ca_topic_score_gemma":0.0001716848,"domain_scores_codex":[0.9958324,0.0001276567,0.0009204507,0.000970997,0.0004144246,0.001734059],"domain_scores_gemma":[0.9975464,0.0006738414,0.0002966971,0.001044636,0.0001496102,0.0002887557],"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":[0.0002738482,0.00009172177,0.002251502,0.00006095,0.00002158662,0.00003229436,0.00009469007,0.9260855,0.000009819057,0.01517827,0.004656581,0.05124318],"study_design_scores_gemma":[0.0009091871,0.0001347838,0.0004577824,0.0006817483,0.000005838524,0.000009122639,0.00000353847,0.9400885,0.0000980214,0.05091656,0.006131322,0.0005635651],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002983358,0.0001783612,0.9462418,0.0001363424,0.002165571,0.04759268,0.000001546824,0.0002634499,0.0004369171],"genre_scores_gemma":[0.6402577,0.00005640154,0.1578498,0.00271631,0.02239716,0.1764239,0.00001231433,0.0001710784,0.0001154141],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.788392,"threshold_uncertainty_score":0.9998084,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06020174291611823,"score_gpt":0.3479157275343294,"score_spread":0.2877139846182112,"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."}}