{"id":"W1941429914","doi":"10.1109/aps.2015.7304429","title":"Modeling and optimization of coverage in London Underground Subway Tunnels","year":2015,"lang":"en","type":"article","venue":"","topic":"Millimeter-Wave Propagation and Modeling","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Thales (Canada); University of Toronto","funders":"","keywords":"Extraction (chemistry); Signal strength; Radio signal; Computer science; TRACER; SIGNAL (programming language); Radio frequency; Telecommunications; Physics; Antenna (radio)","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":[0.0002488638,0.000627105,0.0005469501,0.0004037587,0.0002245084,0.0008272925,0.000609323,0.0007881198,0.0007434825],"category_scores_gemma":[0.0006844468,0.000440124,0.0005058166,0.0004360244,0.0004570039,0.0003801999,0.0005362815,0.0002439493,0.0001575213],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009229106,"about_ca_system_score_gemma":0.0009463693,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02979388,"about_ca_topic_score_gemma":0.02439844,"domain_scores_codex":[0.9998435,0.00004374712,0.000006560319,0.00002493263,0.00003705765,0.00004417433],"domain_scores_gemma":[0.9997682,0.0001144527,0.00004780617,0.00001670187,0.00003410218,0.00001876027],"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":[0.00001547878,0.00000461865,0.0006112104,0.000005807057,0.000002328726,0.00002719237,0.00001149603,0.9974113,0.000947068,0.0001888637,0.00002953334,0.000745023],"study_design_scores_gemma":[0.000003974049,0.00001147494,0.0004272895,0.000001373916,0.000002412213,0.00001157435,0.0000122764,0.998865,0.0004864159,0.00009822129,0.00007603638,0.000003964343],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8427685,0.0001986122,0.1491696,0.0001318986,0.000009375708,0.00004438342,0.0004891152,0.000447982,0.006740607],"genre_scores_gemma":[0.9894232,0.00006988214,0.008956569,0.000006247891,0.00000171038,0.00002880437,0.000130112,0.00003544644,0.00134802],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02979388,"threshold_uncertainty_score":0.05924094,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03462809034020108,"score_gpt":0.2254433458150745,"score_spread":0.1908152554748734,"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."}}