{"id":"W103958510","doi":"","title":"Effect of Subchannelization in Uplink in OFDM PHY of IEEE 802.16d.","year":2008,"lang":"en","type":"article","venue":"High Performance Computing, Networking and Communication Systems","topic":"Advanced Wireless Network Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Orthogonal frequency-division multiplexing; Telecommunications link; PHY; IEEE 802; Computer science; Computer network; Electronic engineering; Telecommunications; Wireless; Physical layer; Channel (broadcasting); Engineering","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":[0.0006073058,0.0001600018,0.0004139477,0.0002146541,0.00007587132,0.000008469691,0.00021267,0.0001091277,3.821795e-7],"category_scores_gemma":[0.00000609937,0.0001717781,0.00002087153,0.0006628393,0.00006099842,0.0001361754,0.00004247713,0.0002056688,5.771794e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005908053,"about_ca_system_score_gemma":0.00001009105,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005312495,"about_ca_topic_score_gemma":0.000008068593,"domain_scores_codex":[0.9986908,0.0001853069,0.0006568879,0.0001366643,0.0001302463,0.0002000831],"domain_scores_gemma":[0.9990684,0.000208704,0.0002593582,0.0003796747,0.00005923424,0.00002459867],"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":[0.00002281126,0.00001404303,0.06304435,0.0002371018,0.000005656175,3.163974e-7,0.0005655774,0.9276764,0.000107039,0.00006980596,0.00001456211,0.008242373],"study_design_scores_gemma":[0.0006486477,0.00009527057,0.02165832,0.001317978,0.000004337974,0.000006995021,0.00001867214,0.9755461,0.0005153714,0.000004972629,0.00004779868,0.0001355692],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9638038,0.004731817,0.03056722,0.00000293281,0.0002760136,0.0002926023,4.396028e-7,0.00008762663,0.0002375011],"genre_scores_gemma":[0.9928045,0.006432062,0.0005927827,0.000002392914,0.00008488288,0.0000151423,0.00003958044,0.00002448855,0.000004197212],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04786971,"threshold_uncertainty_score":0.7004908,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007690530218839273,"score_gpt":0.2079098466173792,"score_spread":0.2002193163985399,"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."}}