{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002588736,0.0003277261,0.0003454314,0.0001376779,0.000644152,0.0001119806,0.0005300922,0.0001406495,0.00001039503],"category_scores_gemma":[0.000003083268,0.0003682205,0.00007415417,0.0006090772,0.0001719446,0.0001679973,0.0002734471,0.0004576948,0.000004100598],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002053163,"about_ca_system_score_gemma":0.00001272416,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005731362,"about_ca_topic_score_gemma":0.000009588858,"domain_scores_codex":[0.9984165,0.0001776144,0.00041372,0.0003824207,0.0001513216,0.0004584201],"domain_scores_gemma":[0.9981663,0.0001855225,0.0001129033,0.001293798,0.0001064638,0.0001349659],"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":[0.000005119379,0.00007108163,0.0001989371,0.00005183954,0.00009338272,0.000003200009,0.001480115,0.8519332,0.00003485018,0.02709012,0.0002626447,0.1187755],"study_design_scores_gemma":[0.0006108046,0.00004318441,0.0001241164,0.0001445049,0.00004214852,0.00002952589,0.008866929,0.9223276,0.00004450578,0.000123753,0.06718728,0.0004556788],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1549443,0.05438987,0.7585348,0.00006793427,0.000552972,0.002298379,0.00001211037,0.001468929,0.02773073],"genre_scores_gemma":[0.9664236,0.01359734,0.01926383,0.00004124356,0.0001552113,0.0002843776,0.00004853809,0.00009446813,0.00009143747],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8114793,"threshold_uncertainty_score":0.999877,"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."}}