{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008812912,0.0006059555,0.0003447357,0.0002740624,0.0006172377,0.0005362667,0.0004366546,0.000517666,0.00387802],"category_scores_gemma":[0.005143221,0.0002003398,0.000209492,0.0003217858,0.0006582967,0.0008737189,0.0004639717,0.0007345036,0.0004095075],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006492194,"about_ca_system_score_gemma":0.0007195769,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002747806,"about_ca_topic_score_gemma":0.004709253,"domain_scores_codex":[0.9991317,0.0002770196,0.00002669029,0.0001044394,0.0001733741,0.0002867597],"domain_scores_gemma":[0.9947891,0.003600158,0.0002640809,0.0003560717,0.0007620938,0.000228513],"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":[0.009610201,0.001519321,0.02078372,0.0009380342,0.0004007385,0.001791339,0.001219211,0.3848384,0.3777235,0.01405235,0.009772957,0.1773502],"study_design_scores_gemma":[0.0002093734,0.003284749,0.05376836,0.0002788104,0.0007436582,0.001860491,0.001396346,0.6028824,0.3231606,0.004158581,0.00809068,0.0001658498],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9380907,0.00335529,0.03829303,0.0006175064,0.0003647143,0.00004207296,0.0003526376,0.0005485243,0.0183355],"genre_scores_gemma":[0.9968346,0.0002838759,0.002174044,0.00007612797,0.00002957394,0.000009748646,0.00005878474,0.00003339187,0.0004998249],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00387802,"threshold_uncertainty_score":0.01297331,"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."}}