{"id":"W4392825131","doi":"10.1109/access.2024.3375811","title":"Wideband Endfire Antenna Array for 5G mmWave Mobile Terminals","year":2024,"lang":"en","type":"article","venue":"IEEE Access","topic":"Antenna Design and Analysis","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Universidad Carlos III de Madrid; Chinese Academy of Sciences; King Saud University; European Commission","keywords":"Wideband; Computer science; Antenna (radio); Antenna array; Electronic engineering; Telecommunications; Engineering","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":[0.0001836858,0.000441953,0.000379619,0.0002186995,0.0001257329,0.0004914742,0.0005514538,0.0006825007,0.001835401],"category_scores_gemma":[0.0002373846,0.0002083655,0.0004432015,0.0002621286,0.0001155774,0.000539394,0.0003853148,0.0005070202,0.002027484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002128039,"about_ca_system_score_gemma":0.0001149459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001053454,"about_ca_topic_score_gemma":0.0002364952,"domain_scores_codex":[0.9997137,0.00004890309,0.00001329971,0.0000607689,0.0001229401,0.00004028044],"domain_scores_gemma":[0.9997984,0.0000271853,0.00004454689,0.00003553967,0.00007877799,0.00001559959],"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":[0.0003179675,0.00007531841,0.003400014,0.0001386269,0.0001023419,0.0003456101,0.00008988268,0.02245615,0.8402474,0.005359652,0.003181676,0.1242854],"study_design_scores_gemma":[0.00005683549,0.001597975,0.00660796,0.00005034989,0.0001049762,0.002245085,0.0001474463,0.2942245,0.6530518,0.002394924,0.03942167,0.00009654995],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09160612,0.0004176932,0.8947119,0.0001861522,0.0001613914,0.00002380065,0.000110662,0.0008985979,0.01188361],"genre_scores_gemma":[0.6945758,0.0004132949,0.2936929,0.0003599727,0.00007902373,0.0000886749,0.0004969424,0.00007535609,0.0102179],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001835401,"threshold_uncertainty_score":0.006140053,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02380389418548358,"score_gpt":0.2919742641495814,"score_spread":0.2681703699640979,"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."}}