{"id":"W2041911993","doi":"10.1109/vetecs.2010.5494114","title":"Simulating Mobile Channels for Directional Scenarios by the Inverse Discrete Fourier Transform","year":2010,"lang":"en","type":"article","venue":"","topic":"Millimeter-Wave Propagation and Modeling","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Discrete Fourier transform (general); Computer science; Isotropy; Channel (broadcasting); Inverse; Fast Fourier transform; Algorithm; Fourier transform; Simulation; Mathematics; Fractional Fourier transform; Telecommunications; Fourier analysis; Mathematical analysis; Physics; Optics; Geometry","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":[0.0001716601,0.0001053348,0.0000806162,0.00002798707,0.0001521732,0.00004289796,0.00007585979,0.00006042182,0.0002972231],"category_scores_gemma":[0.00001918267,0.00007316774,0.00007525979,0.00005291017,0.00001941896,0.0001158815,0.000007783509,0.0001648251,0.00001222989],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001296474,"about_ca_system_score_gemma":0.000007092397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001557222,"about_ca_topic_score_gemma":0.0001076287,"domain_scores_codex":[0.9994447,0.000005098237,0.0001562658,0.0001119644,0.00009899088,0.0001829707],"domain_scores_gemma":[0.9997012,0.00007919694,0.00001318306,0.0001134075,0.00003654507,0.0000564435],"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":[0.00001707883,0.00002158674,0.00002460386,0.00006812651,0.00007903163,2.489427e-7,0.001639299,0.6245466,0.2804134,0.000140861,0.009419605,0.0836295],"study_design_scores_gemma":[0.0002399433,0.00001496003,7.454055e-7,0.000003931392,0.000008799903,0.00000165963,0.00008875608,0.9039214,0.06462257,0.0002466962,0.03074023,0.0001103518],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1542734,0.00002913531,0.8390065,0.0001926242,0.0007118078,0.0005570219,0.00002531769,0.0002339122,0.004970262],"genre_scores_gemma":[0.9912884,0.000006512197,0.006717604,0.0001510313,0.0001926471,0.0001704951,0.00002476684,0.00002996564,0.001418632],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.837015,"threshold_uncertainty_score":0.3254385,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01307041985868879,"score_gpt":0.2361025734508836,"score_spread":0.2230321535921948,"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."}}