{"id":"W2162584972","doi":"10.1109/glocom.1993.318273","title":"The application of ray tracing and the geometrical theory of diffraction to indoor channel modelling","year":2002,"lang":"en","type":"article","venue":"","topic":"Millimeter-Wave Propagation and Modeling","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Instituto de Telecomunicações","keywords":"Channel (broadcasting); Ray tracing (physics); Radio channel; Uniform theory of diffraction; Diffraction; Set (abstract data type); Computer science; Tracing; Simulation; Algorithm; Optics; Physics; Telecommunications; Programming language","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":[0.0004678118,0.00005668495,0.00009765541,0.0000825479,0.00006333746,0.00001146975,0.00006213142,0.00003071868,0.000008593353],"category_scores_gemma":[0.0000398714,0.00003259124,0.00003070995,0.000198279,0.00002883691,0.00004633797,0.00001376779,0.00007480601,0.00000305698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000100176,"about_ca_system_score_gemma":9.500991e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001179146,"about_ca_topic_score_gemma":0.000001228123,"domain_scores_codex":[0.9995003,0.00002870745,0.0002136505,0.00007147501,0.0001027359,0.00008311307],"domain_scores_gemma":[0.999482,0.0002900412,0.00003747486,0.0001250591,0.00004025852,0.00002519017],"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":[0.00002680556,0.00001094113,0.000004645489,0.00002639908,0.00002046684,1.861834e-8,0.001219746,0.9213589,0.006485582,0.001931855,0.00001807319,0.06889651],"study_design_scores_gemma":[0.0002174276,0.000008488472,0.00002000558,0.000006346663,0.00001014858,6.805371e-7,0.0002532218,0.9833941,0.01479494,0.001209081,0.00004561515,0.00003991782],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.112845,0.0004632807,0.8853016,0.0001039638,0.0000369691,0.0001941512,7.073618e-7,0.0000267189,0.001027604],"genre_scores_gemma":[0.9983488,0.0002996526,0.001201436,0.00002796122,0.00002909787,0.00002417912,4.70929e-7,0.000009256353,0.00005914375],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8855038,"threshold_uncertainty_score":0.1329032,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02496527645845551,"score_gpt":0.2072259560669251,"score_spread":0.1822606796084696,"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."}}