{"id":"W2147446451","doi":"10.1109/icc.2004.1312490","title":"Linear dispersion over time and frequency","year":2004,"lang":"en","type":"article","venue":"","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Orthogonal frequency-division multiplexing; Fading; Interleaving; Computer science; Bit error rate; Algorithm; Decoding methods; Diversity scheme; Electronic engineering; Mathematics; Channel (broadcasting); 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00001702637,0.0000492805,0.00004637867,0.00002447275,0.00002014132,0.000004844341,0.00006453866,0.00002986107,0.00009161067],"category_scores_gemma":[0.000004225925,0.00004592589,0.000009614773,0.000045266,0.00001758094,0.0001131432,0.00002494474,0.00005837828,0.00005420048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003026645,"about_ca_system_score_gemma":0.000002007718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001683037,"about_ca_topic_score_gemma":0.000004992482,"domain_scores_codex":[0.9997946,0.000002415478,0.00005944494,0.00004854623,0.00003488244,0.00006013321],"domain_scores_gemma":[0.9997756,0.000008993449,0.000005149665,0.0001784851,0.000007174093,0.00002463809],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000005125521,0.00007510734,0.001401662,0.00007026534,0.00004078017,0.000006892564,0.0005355001,0.03373247,0.8325666,0.07360986,0.001571622,0.05638412],"study_design_scores_gemma":[0.001493759,0.000133048,0.009250585,0.0001945524,0.00001771438,0.0000250592,0.00004232244,0.114259,0.789123,0.07073278,0.01355326,0.001174951],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6618586,0.001265656,0.2868675,0.0003273794,0.00004249269,0.0002119447,0.000005719365,0.003541644,0.04587908],"genre_scores_gemma":[0.8981705,0.000371246,0.1012372,0.00004102744,0.00001050577,0.000004220562,0.000004543719,0.0000148149,0.0001459249],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.236312,"threshold_uncertainty_score":0.1872804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005537011621733962,"score_gpt":0.2243972312781734,"score_spread":0.2188602196564394,"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."}}