{"id":"W2150639054","doi":"10.1109/icbn.2005.1589651","title":"Opportunistic performance enhancement of reservation multiple access protocols of wireless broadband networks","year":2005,"lang":"en","type":"article","venue":"","topic":"Advanced Wireless Network Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Computer science; Reservation; Computer network; Frame (networking); Resource allocation; Throughput; Controller (irrigation); Wireless broadband; Broadband networks; Access control; Transmission (telecommunications); Distributed computing; Broadband; Wireless network; Wireless; 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":[0.0001237001,0.0001341675,0.0002242979,0.00006784757,0.00002997632,0.00001197943,0.0002099191,0.00007207073,0.00009883304],"category_scores_gemma":[0.00001278526,0.0001344083,0.00002837364,0.0002810987,0.00003775899,0.0005205519,0.00004548468,0.00008743584,0.00000156122],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000577553,"about_ca_system_score_gemma":0.00001728643,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005199644,"about_ca_topic_score_gemma":0.00001876063,"domain_scores_codex":[0.9989653,0.0000135745,0.0005021533,0.0001328182,0.0001865531,0.0001995773],"domain_scores_gemma":[0.999359,0.00005304197,0.0001497919,0.000259054,0.0001342515,0.00004488353],"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":[0.00003780555,0.0000433221,0.005058717,0.0002106642,0.00001457659,1.226922e-7,0.00003291042,0.9509158,0.003894622,0.0001293741,0.0002627647,0.0393993],"study_design_scores_gemma":[0.0004296215,0.00004541386,0.001561343,0.0001698512,0.000005588954,3.255676e-7,0.000005168584,0.9134817,0.08359075,0.000006712398,0.0005802597,0.0001232813],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1810549,0.000029251,0.8133546,0.00001214742,0.00005105465,0.003455058,0.000002501402,0.00009828739,0.001942187],"genre_scores_gemma":[0.9857042,0.0002223112,0.01227945,0.00001268097,0.00007675294,0.001459978,0.00004391086,0.00002987243,0.0001708517],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8046493,"threshold_uncertainty_score":0.5481013,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03153711983972721,"score_gpt":0.2766488179259154,"score_spread":0.2451116980861882,"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."}}