{"id":"W2163693360","doi":"10.1109/vtcf.2006.196","title":"Broadband Wireless Access Interference and Capacity Estimation","year":2006,"lang":"en","type":"article","venue":"IEEE Vehicular Technology Conference","topic":"Advanced Wireless Network Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ericsson (Canada)","funders":"","keywords":"Computer science; Computer network; Orthogonal frequency-division multiplexing; Interference (communication); Broadband networks; Throughput; Telecommunications link; Wireless broadband; Base station; Soft handover; Transmitter power output; Wireless network; Broadband; Orthogonal frequency-division multiple access; Frequency-division multiple access; Wireless; Telecommunications; Transmitter; Channel (broadcasting)","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":[0.00005252101,0.000215943,0.0002269514,0.0002322711,0.00006770513,0.00008178411,0.0002913751,0.000295623,0.000009391312],"category_scores_gemma":[0.0000139705,0.000232209,0.00001939372,0.0004333109,0.0002564679,0.0003816791,0.00005550209,0.0003043295,0.00001075947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000534074,"about_ca_system_score_gemma":0.00001392799,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002214643,"about_ca_topic_score_gemma":0.00005436838,"domain_scores_codex":[0.9990702,0.00001595987,0.0002409905,0.0002923888,0.00009840776,0.0002821073],"domain_scores_gemma":[0.9995059,0.00002671425,0.00006155925,0.0002663439,0.0001031066,0.00003635991],"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":[0.000007672958,0.00003272269,0.007265955,0.0001047992,0.00003186731,0.00001834641,0.00004372575,0.8648259,0.04440739,0.01572309,0.0002392919,0.06729921],"study_design_scores_gemma":[0.000252695,0.00002027825,0.001257273,0.00009316202,0.00001438604,0.00003058237,0.000009417452,0.9034686,0.08295702,0.01151377,0.0001033257,0.0002794612],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5168719,0.00013746,0.4817049,0.00005934152,0.0001115217,0.0001137424,0.000003131942,0.0006478596,0.0003501142],"genre_scores_gemma":[0.992096,0.0001618001,0.007573021,0.00001228765,0.0000315441,0.00005391912,0.00001396287,0.00002833816,0.0000290968],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4752241,"threshold_uncertainty_score":0.946921,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01162214109642642,"score_gpt":0.2196959529698875,"score_spread":0.2080738118734611,"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."}}