{"id":"W4211096227","doi":"10.1016/j.aeue.2022.154144","title":"High gain array antenna for 24 GHz FMCW automotive radars","year":2022,"lang":"en","type":"article","venue":"AEU - International Journal of Electronics and Communications","topic":"Antenna Design and Analysis","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"National Natural Science Foundation of China; Natural Science Foundation of Jilin Province","keywords":"Reflective array antenna; Radar; Bandwidth (computing); Antenna array; Electronic engineering; Antenna (radio); Continuous-wave radar; Microstrip antenna; High-gain antenna; Computer science; Engineering; Slot antenna; Electrical engineering; Telecommunications; Radar imaging","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":[0.000342067,0.00009365236,0.0001663944,0.0001933461,0.0002206078,0.00005208444,0.000871752,0.00002280867,0.00005164443],"category_scores_gemma":[0.00003702936,0.00009464761,0.0001414257,0.0001418704,0.00004342707,0.0001242638,0.00009702937,0.0003843964,0.000001049407],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001863357,"about_ca_system_score_gemma":0.00007605568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000937306,"about_ca_topic_score_gemma":0.00001530497,"domain_scores_codex":[0.9991605,0.00005693372,0.0003347871,0.00007090294,0.0002245033,0.0001523621],"domain_scores_gemma":[0.9991022,0.0001607949,0.0001546929,0.0002372967,0.0002951435,0.00004983964],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005140521,0.001437756,0.001023375,0.00004761396,0.009966385,0.00004069549,0.004097151,0.02703467,0.3243768,0.5765592,0.01667944,0.03822292],"study_design_scores_gemma":[0.002951225,0.0008294238,0.0005612772,0.00007918213,0.000415171,0.000524251,0.002820709,0.7218108,0.001698605,0.06628861,0.201379,0.0006417856],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09092069,0.04107533,0.8386627,0.02553919,0.001562933,0.0004275628,0.0003395496,0.0001460854,0.001325962],"genre_scores_gemma":[0.9872281,0.005336452,0.006800504,0.0002715277,0.00007112156,0.00002048248,0.00005056043,0.00001863248,0.0002026355],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8963074,"threshold_uncertainty_score":0.3859617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01347607594913591,"score_gpt":0.2472233091488058,"score_spread":0.2337472331996699,"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."}}