{"id":"W2902016550","doi":"10.23919/eumc.2018.8541394","title":"Engineering the Environment to Enhance Millimetre-Wave Communications for Connected Vehicles","year":2018,"lang":"en","type":"article","venue":"","topic":"Millimeter-Wave Propagation and Modeling","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Communications Research Centre Canada","funders":"","keywords":"Non-line-of-sight propagation; Millimetre wave; Automotive industry; Computer science; Ray tracing (physics); Extremely high frequency; Tracing; Millimeter; Telecommunications; Engineering; Aerospace engineering; Wireless; Astronomy; Physics; Optoelectronics","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":[0.0001552746,0.0001064823,0.00008765097,0.00005510025,0.000108304,0.00002925939,0.0002169128,0.00003414828,0.0001124395],"category_scores_gemma":[0.00004244194,0.00008459063,0.00003995497,0.00009598256,0.00002984366,0.00004177426,0.00007011233,0.00007050163,0.000168974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004213368,"about_ca_system_score_gemma":0.000003872384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000480478,"about_ca_topic_score_gemma":0.00001686082,"domain_scores_codex":[0.9994286,0.00001109419,0.000176704,0.0001217093,0.00007534437,0.0001865425],"domain_scores_gemma":[0.9991865,0.0001497306,0.00001316813,0.000549728,0.00003762693,0.00006320289],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00000755509,0.00002909961,0.000014026,0.0000352471,0.0001025513,1.670689e-7,0.001533187,0.02884006,0.9295071,0.001074885,0.002748743,0.03610741],"study_design_scores_gemma":[0.00006421182,0.00002791631,0.00005419616,0.000009754312,0.00000946916,6.285027e-7,0.00004626467,0.5445644,0.418768,0.00005637721,0.03628385,0.0001148912],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1037404,0.0001692934,0.8936456,0.0005823178,0.0001097063,0.0003848137,0.00001105737,0.0002042125,0.001152586],"genre_scores_gemma":[0.930151,0.00006527474,0.06903955,0.000272649,0.00007070877,0.0001323262,0.00001108474,0.00002756951,0.0002298073],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8264107,"threshold_uncertainty_score":0.3449506,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03216358364157509,"score_gpt":0.2502271291289647,"score_spread":0.2180635454873896,"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."}}