{"id":"W2161689558","doi":"10.1109/glocom.2007.989","title":"Packet-Level Channel Model for Wireless OFDM Systems","year":2007,"lang":"en","type":"article","venue":"","topic":"Advanced Wireless Network Optimization","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Orthogonal frequency-division multiplexing; Subcarrier; Fading; Computer science; Channel state information; Channel (broadcasting); Frequency domain; Bit error rate; Electronic engineering; Network packet; Wireless; Computer network; Telecommunications; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004456861,0.0006296356,0.0006709298,0.0003373437,0.0003783056,0.0008762263,0.001240236,0.001031313,0.002364365],"category_scores_gemma":[0.001357805,0.0002776508,0.0005157059,0.0005270236,0.0005841146,0.001728729,0.0007261207,0.001486643,0.0009991665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006748902,"about_ca_system_score_gemma":0.0008938445,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002863179,"about_ca_topic_score_gemma":0.001818134,"domain_scores_codex":[0.9994761,0.000141165,0.00002386466,0.00008074404,0.0001983427,0.00007973953],"domain_scores_gemma":[0.9994158,0.0002777002,0.00008239948,0.00006424895,0.0001350652,0.00002479537],"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":[0.00002569572,0.00003204222,0.0003353591,0.00005942296,0.00001733854,0.0001298325,0.00004943505,0.9085945,0.002081614,0.08127107,0.001406898,0.00599674],"study_design_scores_gemma":[0.000005216473,0.00001240885,0.00005151853,0.000002820175,0.000005087117,0.00002363108,0.00000594687,0.991582,0.0001837496,0.007196753,0.0009255414,0.000005345187],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009399409,0.0002254696,0.9845623,0.000300654,0.00009053532,0.00005791664,0.0003198142,0.0002478421,0.00479595],"genre_scores_gemma":[0.8049292,0.002362466,0.1723406,0.0006251686,0.0003667974,0.0008104237,0.0008160068,0.0001936942,0.01755571],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002863179,"threshold_uncertainty_score":0.007909596,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03349684120164982,"score_gpt":0.2415525080068899,"score_spread":0.2080556668052401,"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."}}