{"id":"W4386523344","doi":"10.1109/usnc-ursi52151.2023.10237880","title":"Propagation Modeling for RIS-Enabled Channels Based on Ray-Tracing and the Equivalence Principle","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Ray tracing (physics); Equivalence (formal languages); Computer science; Beam tracing; Wave propagation; Radio propagation; Tracing; Electronic engineering; Algorithm; Computational physics; Optics; Physics; Distributed ray tracing; Telecommunications; Engineering; Mathematics","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":[0.0003254784,0.00008920591,0.0001017772,0.00009341325,0.0001459946,0.00003139909,0.0001960205,0.0000475204,0.000002515087],"category_scores_gemma":[0.0002149224,0.00006350681,0.00002383032,0.0002278229,0.00004172082,0.0001155935,0.00005954654,0.0001112033,0.000007108709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002993993,"about_ca_system_score_gemma":0.000006033345,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002049375,"about_ca_topic_score_gemma":0.000001625577,"domain_scores_codex":[0.9994709,0.00001459941,0.0001455849,0.0001162555,0.00008414226,0.0001685452],"domain_scores_gemma":[0.9992532,0.0003083205,0.00002301082,0.000364497,0.00003692424,0.00001409926],"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":[0.00001416417,0.000002265496,0.000002983924,0.00005453365,0.000003702144,8.871057e-8,0.00008005229,0.9857745,0.0009390392,0.008572643,0.00001778978,0.004538233],"study_design_scores_gemma":[0.0005247239,0.00001258762,0.000005380222,0.00004519441,0.00000270379,1.55619e-7,0.0002187335,0.9831239,0.01252479,0.003382562,0.00007492775,0.00008432958],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05440465,0.0000723436,0.9420256,0.0005934671,0.00006675622,0.0005623021,0.00000197484,0.001855849,0.0004170714],"genre_scores_gemma":[0.9902549,0.0001652113,0.00900213,0.0000317479,0.00001359159,0.0003999476,0.000007207613,0.00002269469,0.0001026062],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9358502,"threshold_uncertainty_score":0.2589732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03377816815570096,"score_gpt":0.2765037072783549,"score_spread":0.2427255391226539,"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."}}