{"id":"W2080479468","doi":"10.1002/wcm.174","title":"Future mobile broadband wireless networks: a radio resource management perspective","year":2003,"lang":"en","type":"article","venue":"Wireless Communications and Mobile Computing","topic":"Advanced Wireless Network Optimization","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; Nortel (Canada)","funders":"","keywords":"Computer science; Computer network; Wireless broadband; Radio resource management; Telecommunications; Mobile broadband; Wireless network; Radio access network; Municipal wireless network; Wireless; Quality of service; Broadband networks; Exploit; Resource management (computing); Wireless WAN; Broadband; Wi-Fi array; Base station; Computer security; Mobile station","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005665848,0.0005152613,0.0002909745,0.0005252698,0.0004164699,0.001729979,0.0004583496,0.001150923,0.003344361],"category_scores_gemma":[0.0003744978,0.0002200608,0.0001408859,0.0005209193,0.0009904504,0.002134106,0.0004756856,0.001056007,0.0005193784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001213132,"about_ca_system_score_gemma":0.0005515629,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001329782,"about_ca_topic_score_gemma":0.002084132,"domain_scores_codex":[0.9997866,0.00008284316,0.000005722794,0.00002415492,0.00006800781,0.00003270914],"domain_scores_gemma":[0.9997965,0.00007899014,0.00002138541,0.000007859875,0.00005781225,0.00003755498],"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":[0.0000478223,0.00006134639,0.000583055,0.0003176422,0.00004214632,0.0004202076,0.0001571428,0.06008064,0.004128715,0.8053412,0.02161113,0.107209],"study_design_scores_gemma":[0.00003219675,0.000197943,0.001603935,0.0003531214,0.00005547872,0.0007337253,0.0006017184,0.1692255,0.001547955,0.6030677,0.2225385,0.00004225863],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.04516634,0.3031849,0.2952702,0.06132649,0.002610132,0.0001014753,0.0002180482,0.0002720134,0.2918502],"genre_scores_gemma":[0.7349342,0.1594632,0.05266317,0.002610421,0.005462272,0.0001330879,0.0001225748,0.00007302754,0.044538],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003344361,"threshold_uncertainty_score":0.01118797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006250530176406996,"score_gpt":0.2284277605241841,"score_spread":0.2221772303477771,"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."}}