{"id":"W4389569714","doi":"10.1049/mia2.12439","title":"Comparative analysis of finite‐difference and split‐step based parabolic equation methods for tunnel propagation modelling","year":2023,"lang":"en","type":"article","venue":"IET Microwaves Antennas & Propagation","topic":"Radio Wave Propagation Studies","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"CHIST-ERA; Irish Research eLibrary","keywords":"Discretization; Finite difference method; Finite difference; Wave equation; Wave propagation; Computer science; Fidelity; Applied mathematics; Algorithm; Mathematics; Mathematical analysis; Physics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001458551,0.0005648545,0.0006342802,0.0007245826,0.0004307531,0.0007727543,0.0009223475,0.001213247,0.002250859],"category_scores_gemma":[0.003690945,0.0002598153,0.0007606942,0.000509181,0.0005032903,0.0007768773,0.0007881086,0.0008788012,0.0003857301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004742416,"about_ca_system_score_gemma":0.0009789817,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006147131,"about_ca_topic_score_gemma":0.003560881,"domain_scores_codex":[0.9995945,0.0001400887,0.00002423856,0.00002823448,0.0001840207,0.00002899186],"domain_scores_gemma":[0.9973429,0.001608264,0.0001308026,0.0001450681,0.0006896519,0.00008332443],"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":[0.000199867,0.0001528728,0.002082463,0.0003038715,0.00005099216,0.0001062936,0.0001923774,0.9270229,0.01037452,0.01014055,0.00070738,0.04866584],"study_design_scores_gemma":[0.000003620491,0.00002462903,0.00009657998,0.000009388976,0.000002830569,0.00001295383,0.00001465739,0.9985735,0.0007129377,0.0002506672,0.0002931032,0.000005141644],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1382249,0.001351508,0.8506534,0.0003877135,0.0001583346,0.000126817,0.0001431815,0.0005286465,0.008425529],"genre_scores_gemma":[0.8026169,0.0007879906,0.1921707,0.00005138241,0.00003274873,0.0001702549,0.000223886,0.0001299092,0.003816251],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006147131,"threshold_uncertainty_score":0.01222265,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0787935133332731,"score_gpt":0.3303303553472221,"score_spread":0.251536842013949,"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."}}