{"id":"W2096848398","doi":"10.1109/cnsr.2010.35","title":"Prioritized Access for Emergency Stations in Next Generation Broadband Wireless Networks","year":2010,"lang":"en","type":"article","venue":"","topic":"Advanced Wireless Network Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Base station; Computer network; Computer science; Wireless broadband; WiMAX; Mobile broadband; Mobile telephony; IMT Advanced; Wireless network; Mobile station; Broadband; Cellular network; Telecommunications; Interference (communication); Wireless; Mobile radio; Mobile Web; Channel (broadcasting)","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":[0.0009727274,0.0006401504,0.0004456262,0.0003744569,0.0004851419,0.0006596077,0.0008708714,0.0007577224,0.002396783],"category_scores_gemma":[0.002384329,0.0002597703,0.0002187005,0.0004196437,0.0004997256,0.0009761596,0.0007150638,0.0006712877,0.0001745801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005290575,"about_ca_system_score_gemma":0.0006886494,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001398532,"about_ca_topic_score_gemma":0.002874293,"domain_scores_codex":[0.999466,0.0002338231,0.00001318693,0.00004290744,0.0001067381,0.0001372834],"domain_scores_gemma":[0.9990054,0.0006293521,0.0001283886,0.00004408252,0.0001138422,0.00007899677],"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":[0.0006410033,0.0003144223,0.002272966,0.0002238865,0.0000894616,0.0007052415,0.0002183486,0.8404471,0.01831635,0.05064744,0.002165256,0.08395854],"study_design_scores_gemma":[0.000147946,0.0004485625,0.0009798299,0.00001792712,0.00005414653,0.0002959018,0.00013394,0.9716725,0.003462642,0.02076621,0.001996028,0.0000243943],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.211491,0.001462437,0.7775108,0.0006621716,0.000115778,0.0001549728,0.00004487056,0.0001974557,0.008360482],"genre_scores_gemma":[0.9707334,0.0003867363,0.0270131,0.00007158107,0.0000414409,0.00005141375,0.00001443695,0.00001051345,0.001677356],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002396783,"threshold_uncertainty_score":0.008018076,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03013846426714513,"score_gpt":0.2839969695930075,"score_spread":0.2538585053258623,"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."}}