{"id":"W2295827572","doi":"10.1109/iwat.2016.7434815","title":"A 2.45 GHz novel electrically small planar dipole antenna","year":2016,"lang":"en","type":"article","venue":"","topic":"Antenna Design and Analysis","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Antenna (radio); Dipole antenna; Planar; Matching (statistics); Electrical impedance; Dipole; Impedance matching; Physics; Computer science; Topology (electrical circuits); Electrical engineering; Telecommunications; Mathematics; 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":[0.0001016643,0.0004358505,0.0004226471,0.0002971457,0.000137415,0.0007236866,0.0006709493,0.0009593698,0.002178844],"category_scores_gemma":[0.0001906562,0.0002045305,0.0004696424,0.0004348622,0.0002359544,0.0005525826,0.0003782432,0.0004154009,0.001762278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002974873,"about_ca_system_score_gemma":0.0001417912,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009860736,"about_ca_topic_score_gemma":0.0001117686,"domain_scores_codex":[0.9998114,0.00003327637,0.000006645348,0.000055481,0.00005917327,0.00003412011],"domain_scores_gemma":[0.9998556,0.00002877821,0.00003563429,0.00002359788,0.00003478423,0.00002153917],"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":[0.0005353914,0.00006665565,0.001266803,0.00027468,0.00007557758,0.000912701,0.0001363445,0.008425293,0.8058539,0.01025561,0.006144235,0.1660528],"study_design_scores_gemma":[0.0001909043,0.002458881,0.006070715,0.00007988737,0.000231409,0.01005994,0.0002302987,0.1288265,0.6335664,0.005129357,0.2129383,0.0002173047],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1436251,0.001653435,0.8172466,0.00112853,0.0008185511,0.00005962055,0.0001907763,0.002815977,0.03246145],"genre_scores_gemma":[0.7934263,0.000869668,0.1792729,0.0006874649,0.0002907352,0.00008218404,0.0003357225,0.0001440165,0.02489101],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002178844,"threshold_uncertainty_score":0.007288992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01292428531532293,"score_gpt":0.1860173964757764,"score_spread":0.1730931111604535,"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."}}