{"id":"W2593923174","doi":"","title":"Optimization of dielectric fresnel lens thickness for maximizing gain","year":2006,"lang":"en","type":"article","venue":"International Symposium on Antenna Technology and Applied Electromagnetics","topic":"Microwave Engineering and Waveguides","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Communications Research Centre Canada","funders":"","keywords":"Fresnel zone antenna; Optics; Fresnel lens; Dielectric; Fresnel equations; Lens (geology); Materials science; Fresnel number; Focal length; Fresnel zone; Phase (matter); Fresnel integral; Antenna (radio); Fresnel diffraction; Optoelectronics; Physics; Refractive index; Directional antenna; Telecommunications; Computer science; Slot antenna","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":[0.000608585,0.001171182,0.000424704,0.0007259345,0.0002751715,0.0008513785,0.0004457734,0.0005850663,0.0008974984],"category_scores_gemma":[0.002172227,0.0004959055,0.0003955064,0.0007560214,0.0002871961,0.0007131369,0.0003087423,0.0002355581,0.0002871754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000826249,"about_ca_system_score_gemma":0.0006892394,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001140736,"about_ca_topic_score_gemma":0.001781984,"domain_scores_codex":[0.999476,0.00008565568,0.00005504144,0.0001168191,0.0001603568,0.0001061147],"domain_scores_gemma":[0.9981573,0.0005932563,0.0005998351,0.0001256557,0.0004336657,0.00009020841],"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":[0.0004418428,0.00005825112,0.001578649,0.0002022734,0.00006499275,0.0001370412,0.00006643674,0.01658686,0.9680606,0.0005285413,0.0002052423,0.01206921],"study_design_scores_gemma":[0.00007876459,0.0003197209,0.002624644,0.0000222828,0.0001146713,0.0002248381,0.00005694221,0.01999173,0.9750398,0.0001560817,0.001328339,0.00004202168],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9517559,0.00166858,0.04163524,0.0001262043,0.00006061,0.00005190659,0.0001279902,0.0003322847,0.004241312],"genre_scores_gemma":[0.9614091,0.0009252169,0.03669491,0.00003231062,0.00001816987,0.00003081933,0.00008088366,0.00009166359,0.0007169282],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001171182,"threshold_uncertainty_score":0.005994916,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004632525173149714,"score_gpt":0.1882012379562949,"score_spread":0.1835687127831452,"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."}}