{"id":"W2929449122","doi":"10.3390/electronics8040400","title":"A Circularly Polarized Antenna Array with Gain Enhancement for Long-Range UHF RFID Systems","year":2019,"lang":"en","type":"article","venue":"Electronics","topic":"Antenna Design and Analysis","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Ultra high frequency; Axial ratio; Antenna gain; Microstrip antenna; Array gain; Microstrip; Antenna array; Antenna (radio); Broadside; Radio-frequency identification; Radiation pattern; Bandwidth (computing); Electrical engineering; Optics; Antenna efficiency; Engineering; Physics; Telecommunications; Computer science","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":[0.0001122816,0.0004129081,0.0002747521,0.0002052796,0.00009781982,0.0003684547,0.0004845989,0.0004493855,0.0007176501],"category_scores_gemma":[0.0001738827,0.0002181896,0.0002323904,0.0004032874,0.0001715589,0.0003515031,0.0002617085,0.0002758079,0.001082068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000151922,"about_ca_system_score_gemma":0.0001172673,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008735102,"about_ca_topic_score_gemma":0.0001270113,"domain_scores_codex":[0.9998056,0.00004269015,0.000008566085,0.00005394646,0.00006082191,0.00002837086],"domain_scores_gemma":[0.9998341,0.00002349184,0.00004794744,0.00002855337,0.00005241961,0.00001352341],"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":[0.0001747275,0.00003801396,0.0009693611,0.00007478661,0.00002535424,0.0002074229,0.00003573582,0.004606033,0.9240166,0.001385653,0.0008350281,0.06763139],"study_design_scores_gemma":[0.00003855457,0.001341576,0.005567892,0.00001566054,0.00008010381,0.003464046,0.00006271952,0.1204628,0.8474411,0.00056105,0.02089334,0.00007118963],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3077757,0.001025461,0.6771826,0.0003939304,0.0002401876,0.00003315497,0.00008822973,0.001468167,0.01179263],"genre_scores_gemma":[0.8705705,0.0004115928,0.1246388,0.0001710976,0.0000987958,0.0000298213,0.0001227856,0.000047742,0.003908864],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0007176501,"threshold_uncertainty_score":0.002400756,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006443096881848475,"score_gpt":0.1949829904744804,"score_spread":0.1885398935926319,"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."}}