{"id":"W2908752233","doi":"10.1109/apusncursinrsm.2018.8608991","title":"Extending Waveguide Mode Theory Based Propagation Models to Arched Rough Wall Tunnels","year":2018,"lang":"en","type":"article","venue":"","topic":"Millimeter-Wave Propagation and Modeling","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Path loss; Surface finish; Surface roughness; Wireless; Mode (computer interface); Computer science; Wave propagation; Waveguide; Rough surface; Acoustics; Electronic engineering; Engineering; Optics; Telecommunications; Mechanical engineering; Physics; Materials science","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":[0.0004859461,0.0002200651,0.0001800348,0.0002091308,0.0001061467,0.00006482059,0.0001763244,0.00008319437,0.0003320255],"category_scores_gemma":[0.00004072077,0.0002006757,0.00006951924,0.0002001768,0.00002744642,0.0002945565,0.00003903377,0.0001205885,0.0002240462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001199748,"about_ca_system_score_gemma":0.0000275018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003214026,"about_ca_topic_score_gemma":0.00001886956,"domain_scores_codex":[0.9986588,0.0000584921,0.0003563206,0.0003040783,0.0002395168,0.0003827862],"domain_scores_gemma":[0.9992529,0.00005444709,0.00002780876,0.0003407931,0.0001494839,0.0001745911],"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":[0.00002799361,0.00001616282,0.000001484752,0.0000345559,0.00001963107,0.000001212585,0.0009150423,0.803344,0.174366,0.006815147,0.0002146621,0.01424412],"study_design_scores_gemma":[0.0001956645,0.00003600716,0.000003525282,0.00003516255,0.000009311236,0.000001487497,0.00002951216,0.7274672,0.2606917,0.0110925,0.000227011,0.0002109124],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06480502,0.00002302537,0.9063951,0.0001401241,0.0001823398,0.0003803508,0.000004590287,0.0006453224,0.02742411],"genre_scores_gemma":[0.9349428,0.000006512272,0.06296774,0.0008008021,0.0001628104,0.0000605809,0.0000178778,0.00006528702,0.0009755955],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8701378,"threshold_uncertainty_score":0.8183319,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04679688568096016,"score_gpt":0.2671618949928831,"score_spread":0.220365009311923,"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."}}