{"id":"W4402980204","doi":"10.1109/ap-s/inc-usnc-ursi52054.2024.10687262","title":"Compact Multi-Band Vehicular Antenna","year":2024,"lang":"en","type":"article","venue":"","topic":"Antenna Design and Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Antenna (radio); 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":[0.0001336758,0.0004535693,0.000513423,0.000439414,0.0002043808,0.0005476812,0.0006768787,0.000780627,0.001800787],"category_scores_gemma":[0.0002076274,0.0002121583,0.000369528,0.0005107662,0.0001340663,0.000329795,0.0005812157,0.0002458741,0.001866031],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002623146,"about_ca_system_score_gemma":0.0001960776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001779644,"about_ca_topic_score_gemma":0.0002430817,"domain_scores_codex":[0.9997447,0.00004422315,0.00001255052,0.00005481069,0.0000903635,0.00005340276],"domain_scores_gemma":[0.9998612,0.00001612366,0.00002373653,0.00003355336,0.00004478778,0.00002050951],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008637887,0.0001071938,0.003946712,0.000573375,0.0001340662,0.001765759,0.0002279513,0.0415852,0.6373892,0.01687076,0.008058552,0.2884776],"study_design_scores_gemma":[0.0001234151,0.002661676,0.01107389,0.0001179634,0.0002171245,0.01376116,0.000402498,0.323321,0.4853343,0.005311657,0.1574658,0.0002095829],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2063954,0.001959648,0.7523609,0.0002584892,0.0003604591,0.00006530921,0.0002806671,0.00214831,0.03617079],"genre_scores_gemma":[0.9341162,0.00046935,0.05000791,0.0001195444,0.0000655984,0.0000592972,0.0003296775,0.0000518428,0.01478064],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001800787,"threshold_uncertainty_score":0.006024182,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01699724873617276,"score_gpt":0.2325202381325274,"score_spread":0.2155229893963546,"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."}}