{"id":"W2153802617","doi":"10.1109/aps.1997.631466","title":"The use of FDTD method to simulate smart antennas in multipath channels","year":2002,"lang":"en","type":"article","venue":"","topic":"Advanced Adaptive Filtering Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Multipath propagation; Smart antenna; Delay spread; Finite-difference time-domain method; Computer science; Electronic engineering; Joint (building); Angle of arrival; Antenna (radio); Wireless; Directional antenna; Acoustics; Channel (broadcasting); Telecommunications; Engineering; Physics; Optics","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":[0.0001688325,0.0002564804,0.0002031436,0.0002320893,0.0002103707,0.0003267362,0.0003205118,0.000710321,0.001058641],"category_scores_gemma":[0.0008965228,0.0001754007,0.0002227784,0.0002923478,0.0002667221,0.0003255866,0.0001500833,0.0003995527,0.0002686352],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002230222,"about_ca_system_score_gemma":0.0003073346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002198695,"about_ca_topic_score_gemma":0.001330796,"domain_scores_codex":[0.9999343,0.00001651953,0.000004060136,0.000007105429,0.00003040972,0.000007621522],"domain_scores_gemma":[0.9997396,0.0001419009,0.00001651412,0.0000377637,0.00005557037,0.000008659216],"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":[0.00005284603,0.00003305859,0.001214287,0.00007518144,0.00002256261,0.0002066397,0.0001359686,0.9025519,0.03946457,0.0142959,0.001216986,0.04073013],"study_design_scores_gemma":[0.00000691351,0.00001382279,0.00008534957,0.000004073218,0.000003158719,0.00006130281,0.00001037943,0.9900367,0.006415541,0.0008784548,0.002478294,0.000006012688],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04937295,0.0001136873,0.9451957,0.0001298211,0.0001094363,0.00004307915,0.0001134646,0.0006991579,0.004222742],"genre_scores_gemma":[0.4344145,0.0002523914,0.5618569,0.00006513862,0.00002144294,0.0001027181,0.0001280952,0.00008385481,0.003075018],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002198695,"threshold_uncertainty_score":0.004371822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09103832170343883,"score_gpt":0.2911338405133632,"score_spread":0.2000955188099243,"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."}}