{"id":"W2063476153","doi":"10.1109/mcom.2007.358861","title":"WIRELESS BROADBAND ACCESS: WIMAX AND BEYOND - Integration of WiMAX and WiFi: Optimal Pricing for Bandwidth Sharing","year":2007,"lang":"en","type":"article","venue":"IEEE Communications Magazine","topic":"Advanced Wireless Network Optimization","field":"Engineering","cited_by":162,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"WiMAX; Computer network; Computer science; Wireless broadband; Internet access; Backhaul (telecommunications); Bandwidth (computing); Mobile broadband; Quality of service; Telecommunications; Broadband; Wireless network; Wireless; The Internet; Base 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":[],"consensus_categories":[],"category_scores_codex":[0.0003431143,0.0001883437,0.0002584531,0.0002429671,0.0001825665,0.00007529495,0.0004277413,0.00009415195,0.000003375875],"category_scores_gemma":[0.00004214451,0.0002060684,0.00003034425,0.0004304433,0.0001689123,0.0006485718,0.0001703993,0.000193541,8.339543e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006242801,"about_ca_system_score_gemma":0.00001133718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006011258,"about_ca_topic_score_gemma":0.0001128682,"domain_scores_codex":[0.9989895,0.00001751877,0.0004528819,0.000207234,0.0000991276,0.000233744],"domain_scores_gemma":[0.9985927,0.0003168194,0.0001341297,0.0007213625,0.0001616371,0.00007333743],"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":[0.0002099784,0.0002116448,0.005532373,0.0006706156,0.0002033999,0.000001665439,0.002922552,0.5178103,0.1565372,0.01340174,0.001381965,0.3011165],"study_design_scores_gemma":[0.0009422886,0.00006116117,0.004779736,0.0001898326,0.00006187711,0.00001194751,0.000122567,0.9805675,0.01068092,0.0006736012,0.001596406,0.0003121692],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1798179,0.001973212,0.8148828,0.0001065213,0.0001230327,0.0004886999,0.00001932245,0.000154397,0.002434164],"genre_scores_gemma":[0.8794237,0.002533176,0.1176633,0.00002660367,0.00005759838,0.00004955465,0.00009874554,0.00005099695,0.00009629538],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6996058,"threshold_uncertainty_score":0.8403226,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02621153808986926,"score_gpt":0.2923781511269859,"score_spread":0.2661666130371166,"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."}}