{"id":"W2152487627","doi":"10.1109/lsp.2005.847859","title":"Analytically derived TOA-DOA distributions of uplink/downlink wireless-cellular multipaths arisen from scatterers with an inverted-parabolic spatial distribution around the mobile","year":2005,"lang":"en","type":"article","venue":"IEEE Signal Processing Letters","topic":"Millimeter-Wave Propagation and Modeling","field":"Engineering","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Telecommunications link; Omnidirectional antenna; Azimuth; Base station; Computer science; Physics; Telecommunications; Antenna (radio); 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":[0.0004803327,0.0006003747,0.0004072818,0.0005826139,0.0002831114,0.0007933371,0.0006745668,0.0004262894,0.002237241],"category_scores_gemma":[0.002571391,0.0003012217,0.00058069,0.0005500606,0.0006445097,0.0009441157,0.0005908222,0.0005965005,0.0008472928],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006748723,"about_ca_system_score_gemma":0.000744788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001558968,"about_ca_topic_score_gemma":0.002788888,"domain_scores_codex":[0.9998173,0.00004188802,0.000009347166,0.00002449526,0.00008312681,0.00002394194],"domain_scores_gemma":[0.9993772,0.0002904698,0.00007305633,0.00009486361,0.0001467545,0.00001768459],"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":[0.00006214432,0.0000421042,0.00344079,0.0001429718,0.00004828081,0.0002656995,0.0002596632,0.7164887,0.01247419,0.2170051,0.002093729,0.04767661],"study_design_scores_gemma":[0.000005538715,0.00001313942,0.0006929405,0.00001485112,0.00001065701,0.0002873768,0.00004844187,0.9648418,0.001781815,0.03072375,0.001563244,0.00001645325],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03640216,0.0003132558,0.9560708,0.0001410139,0.00003394117,0.00002676184,0.0002729929,0.0001552575,0.006583902],"genre_scores_gemma":[0.8220313,0.001571686,0.169075,0.0001302115,0.000106396,0.0001098489,0.0006435435,0.0001435351,0.006188502],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002237241,"threshold_uncertainty_score":0.007484257,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01316436813286531,"score_gpt":0.22122602214297,"score_spread":0.2080616540101047,"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."}}