{"id":"W1981414654","doi":"10.1109/rws.2014.6830135","title":"GPU accelerated channel modeling ray tracing tool","year":2014,"lang":"en","type":"article","venue":"","topic":"Millimeter-Wave Propagation and Modeling","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Ray tracing (physics); Computer science; Tracing; Channel (broadcasting); Radar; Automotive industry; Computational science; Engineering; Aerospace engineering; Telecommunications","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":[0.0002139791,0.0001389501,0.0001390093,0.00008798245,0.0000680487,0.00006197851,0.0000868537,0.00006930586,0.0001691527],"category_scores_gemma":[0.00002264158,0.0001301775,0.00004705091,0.0001008893,0.000004314601,0.000172239,0.00001642111,0.0001288274,0.0001163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002506317,"about_ca_system_score_gemma":0.000005256394,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001057949,"about_ca_topic_score_gemma":0.0000045448,"domain_scores_codex":[0.9992321,0.00001600329,0.0002440059,0.0001559357,0.0001099798,0.0002419659],"domain_scores_gemma":[0.9996927,0.00001718361,0.00001253711,0.0001614909,0.00005200437,0.00006407063],"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":[0.000001732508,0.00000428312,0.000001345678,0.00002293812,0.00001021501,2.908761e-7,0.0001952326,0.9573656,0.03528959,0.00005663636,0.00009774578,0.006954434],"study_design_scores_gemma":[0.0002130007,0.00000858064,0.000001717331,0.00001876511,0.00000619979,0.000001684643,0.00004957376,0.9591442,0.04003081,0.0002287007,0.0001087829,0.0001879247],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2434958,0.00004340883,0.7452452,0.00002344783,0.0002231143,0.00007495769,6.522205e-7,0.0005177237,0.01037567],"genre_scores_gemma":[0.9934711,0.0000270295,0.005878398,0.0001847445,0.0001349313,0.00001217388,0.000009402298,0.00003928106,0.0002429157],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7499753,"threshold_uncertainty_score":0.5308485,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03906139213256141,"score_gpt":0.2246700770862843,"score_spread":0.1856086849537229,"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."}}