{"id":"W2063566142","doi":"10.1109/antem.2014.6887656","title":"Loss reduction of printed meanderline dipole antenna using laminated conductors","year":2014,"lang":"en","type":"article","venue":"","topic":"Antenna Design and Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Electrical conductor; Materials science; Conductor; Dipole antenna; Antenna (radio); Dielectric; Reduction (mathematics); Composite number; Dipole; Dielectric loss; Skin effect; Optoelectronics; Composite material; Electrical engineering; Engineering; Physics; Geometry","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":[0.000165071,0.0003988114,0.0003172997,0.0002513725,0.00009008466,0.000523353,0.0003609291,0.0003931584,0.0005738435],"category_scores_gemma":[0.0004449424,0.0001961785,0.0003761288,0.0002289123,0.0002474119,0.0004167932,0.0002483655,0.0002346708,0.0004589617],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001665691,"about_ca_system_score_gemma":0.0000647966,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007515233,"about_ca_topic_score_gemma":0.00006324692,"domain_scores_codex":[0.9998311,0.00005269276,0.000009408638,0.00002853009,0.00005624671,0.00002196559],"domain_scores_gemma":[0.9996908,0.00009910174,0.00007623936,0.00006481331,0.000057543,0.00001153523],"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":[0.0002503715,0.00004069877,0.0008416487,0.00009769723,0.00003131077,0.0002006099,0.0001026149,0.02003585,0.9444448,0.001198289,0.0003235224,0.03243249],"study_design_scores_gemma":[0.00004361144,0.001367214,0.004564916,0.00002397999,0.00006874542,0.001020819,0.00005642798,0.1199975,0.8675373,0.0007995881,0.00448362,0.00003618689],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7909023,0.0003524772,0.201939,0.0001177841,0.00004391333,0.0000119444,0.00004243686,0.0009674237,0.005622748],"genre_scores_gemma":[0.9711386,0.0001627893,0.02712086,0.00001869915,0.00001861627,0.00000908405,0.00003753435,0.00004602372,0.001447681],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005738435,"threshold_uncertainty_score":0.001919687,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01843151949150939,"score_gpt":0.2289493423282723,"score_spread":0.2105178228367629,"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."}}