{"id":"W2157803133","doi":"","title":"Detection of block-spread OFDM in fast fading","year":2008,"lang":"en","type":"article","venue":"Asia-Pacific Conference on Communications","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Fading; Computer science; Orthogonal frequency-division multiplexing; Algorithm; Channel state information; Block (permutation group theory); Decoding methods; Diversity scheme; Multiuser detection; Channel (broadcasting); Detector; Telecommunications; Mathematics; Wireless","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":[0.0005961694,0.0002749203,0.0004419783,0.0004274623,0.0002200644,0.0003793818,0.0003552471,0.000461489,0.0006543617],"category_scores_gemma":[0.002999405,0.000187376,0.0001443563,0.0004538009,0.0002692724,0.0006063412,0.0005646804,0.0003051307,0.0003239448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002828182,"about_ca_system_score_gemma":0.0005067129,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008348747,"about_ca_topic_score_gemma":0.0009235347,"domain_scores_codex":[0.9995602,0.00009848387,0.00001489578,0.00004169505,0.0002346026,0.00005014737],"domain_scores_gemma":[0.9988295,0.0006580095,0.0001403429,0.0001240443,0.0002187815,0.00002931066],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001111345,0.00008387416,0.006270557,0.0002047833,0.00009756128,0.0005541516,0.0003587069,0.2222364,0.391318,0.03209863,0.001505624,0.3441604],"study_design_scores_gemma":[0.00002042814,0.0001295022,0.001816455,0.00001189478,0.00001480148,0.0002737569,0.00002417947,0.9353119,0.05651815,0.004104064,0.001756666,0.00001830772],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1963139,0.0004394634,0.7997608,0.00009750473,0.00003565832,0.00003466478,0.00006272109,0.0003669212,0.002888416],"genre_scores_gemma":[0.7998198,0.0005285853,0.1969856,0.00004231265,0.00003350512,0.00004918015,0.000101697,0.00002861735,0.002410598],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0008348747,"threshold_uncertainty_score":0.003152847,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04868630107202084,"score_gpt":0.2780357078896502,"score_spread":0.2293494068176294,"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."}}