{"id":"W2144465588","doi":"10.1109/ccece.1995.528162","title":"Wireless PCS channel modeling using TD-BEM","year":2002,"lang":"en","type":"article","venue":"","topic":"Millimeter-Wave Propagation and Modeling","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Multipath propagation; Computer science; Wireless; Transmitter; Channel (broadcasting); Ray tracing (physics); Impulse response; Impulse (physics); Delay spread; Electronic engineering; Time domain; Wireless network; Frequency domain; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002036036,0.0003316737,0.0003285063,0.0004094429,0.0003118398,0.000561563,0.0007446851,0.0006380511,0.001628671],"category_scores_gemma":[0.0008036168,0.0002310709,0.0003827488,0.0004626113,0.0002977344,0.0006808268,0.0003572043,0.0005096114,0.0009550469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004511139,"about_ca_system_score_gemma":0.0005433412,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005943576,"about_ca_topic_score_gemma":0.002958318,"domain_scores_codex":[0.9997694,0.00004958698,0.000007251495,0.00002922169,0.0001170909,0.00002752989],"domain_scores_gemma":[0.999764,0.00009265194,0.00002467006,0.00003693927,0.00007075102,0.00001088463],"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":[0.00001624662,0.00001286306,0.0003344511,0.00001893214,0.000006241194,0.00003570814,0.00002469179,0.9816517,0.002106512,0.007838446,0.0003420349,0.007612142],"study_design_scores_gemma":[0.000002215155,0.000006819229,0.00006683231,0.000001831496,0.000001595355,0.00002020619,0.000004822322,0.9969941,0.0006452168,0.001041625,0.001211546,0.000003003675],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02244698,0.0001342134,0.9670861,0.0001205247,0.00004480825,0.00003166521,0.0001950228,0.0006254498,0.009315123],"genre_scores_gemma":[0.8103502,0.0008366376,0.1688643,0.0001015056,0.00004736161,0.0002226473,0.0004899858,0.0002552762,0.01883207],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005943576,"threshold_uncertainty_score":0.01181793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08703512336186221,"score_gpt":0.218722579384398,"score_spread":0.1316874560225358,"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."}}