{"id":"W4399660128","doi":"10.1115/jrc2024-125037","title":"Empirical Verification of a Heuristic Radio Propagation Model in a Non-Uniform Subway Tunnel Environment","year":2024,"lang":"en","type":"article","venue":"","topic":"Millimeter-Wave Propagation and Modeling","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"WSP (Canada)","funders":"","keywords":"Radio propagation model; Transmitter; Ultra high frequency; Radio propagation; Path loss; Wireless; Radio frequency; Computer science; Electronic engineering; Radio Link Protocol; Engineering; High frequency; Telecommunications; Channel (broadcasting)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001759895,0.0004007553,0.0002935079,0.0005070046,0.0003137423,0.0006819856,0.0009458591,0.0008283273,0.001009397],"category_scores_gemma":[0.005775839,0.0002308688,0.0002923434,0.0005833338,0.0005463393,0.0007494543,0.0003334571,0.0004650224,0.0001568357],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008725809,"about_ca_system_score_gemma":0.0007654841,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02329073,"about_ca_topic_score_gemma":0.01265454,"domain_scores_codex":[0.9995147,0.0001989147,0.0000238863,0.00009004922,0.00008521364,0.00008728036],"domain_scores_gemma":[0.9945177,0.0036222,0.0005553505,0.0004874473,0.0007120662,0.0001052534],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0000732851,0.00008856731,0.01185855,0.00002257791,0.00001011273,0.00008227769,0.00004806411,0.9832742,0.001143622,0.0008484767,0.00009419915,0.002456098],"study_design_scores_gemma":[0.000005285174,0.00004307124,0.00185953,0.0000023895,0.00000340308,0.00001277742,0.0000271188,0.9974886,0.0004122042,0.0001057356,0.0000352029,0.000004574173],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9792957,0.00002545967,0.0192501,0.00002882275,0.000003907213,0.00002411411,0.0001489893,0.00008721281,0.001135651],"genre_scores_gemma":[0.9981294,0.000009804301,0.001679768,0.000002097604,6.822533e-7,0.000006778778,0.00007367496,0.000004258686,0.00009341542],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02329073,"threshold_uncertainty_score":0.04631031,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02626278868668351,"score_gpt":0.2425097078918433,"score_spread":0.2162469192051598,"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."}}