{"id":"W2059448480","doi":"10.1109/aps.2013.6710827","title":"Tunable differentially fed inverted microstrip patch antenna","year":2013,"lang":"en","type":"article","venue":"","topic":"Antenna Design and Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Microstrip antenna; Patch antenna; Microstrip; Acoustics; Folded inverted conformal antenna; Materials science; Polarization (electrochemistry); Frequency band; Optics; Optoelectronics; Antenna (radio); Physics; Electronic engineering; Coaxial antenna; Computer science; 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":[0.0001111873,0.0003923358,0.0005331211,0.0002795556,0.0001130789,0.0004066487,0.001109351,0.0009051278,0.001210383],"category_scores_gemma":[0.0003675731,0.0002176106,0.0003313405,0.0003017166,0.0002299255,0.0004407004,0.00045137,0.0003928751,0.0007439779],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003094111,"about_ca_system_score_gemma":0.00009645165,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007484038,"about_ca_topic_score_gemma":0.00008880587,"domain_scores_codex":[0.9997086,0.00003767788,0.00001221667,0.00008589717,0.0001101793,0.00004531594],"domain_scores_gemma":[0.9996902,0.00006214419,0.00007244234,0.00006702109,0.00007880553,0.00002946663],"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":[0.000477827,0.00004537439,0.0009962233,0.0001410264,0.00004136945,0.0006889433,0.00005154504,0.004153921,0.9024122,0.002417631,0.001450023,0.0871238],"study_design_scores_gemma":[0.000145712,0.00209601,0.006447151,0.00002734442,0.0001572838,0.008317783,0.00006528301,0.14002,0.8138996,0.00129249,0.02742255,0.0001088038],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4255651,0.001332501,0.5537368,0.0004622487,0.0005894814,0.00005840031,0.0002362861,0.001976901,0.01604224],"genre_scores_gemma":[0.8964957,0.0002583435,0.09655081,0.0001767301,0.0001479947,0.00003475104,0.0001659381,0.0000465929,0.00612312],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001210383,"threshold_uncertainty_score":0.004049182,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00846874773750056,"score_gpt":0.1775894285103292,"score_spread":0.1691206807728287,"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."}}