{"id":"W2018933189","doi":"10.1109/rws.2007.351748","title":"Highly Miniaturized Fractal Antennas","year":2007,"lang":"en","type":"article","venue":"","topic":"Antenna Design and Analysis","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Fractal; Fractal antenna; Simple (philosophy); Meander (mathematics); Computer science; Antenna (radio); Electronic engineering; GSM; Software; Electrical engineering; Omnidirectional antenna; Telecommunications; Engineering; Mathematics; Mathematical analysis; Geometry; Antenna efficiency","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001175642,0.00008737607,0.0001143518,0.00008805855,0.0000226652,0.00001593648,0.00007296664,0.00005349429,0.0003493462],"category_scores_gemma":[0.000007938419,0.000072075,0.0000775029,0.0001834446,0.00001383811,0.00006677856,0.000007392043,0.00007862166,0.0003001661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000142787,"about_ca_system_score_gemma":0.000002639316,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001016865,"about_ca_topic_score_gemma":0.00001620649,"domain_scores_codex":[0.9994736,0.000003155516,0.000136762,0.00008254437,0.00009114024,0.0002128158],"domain_scores_gemma":[0.9997584,0.00003155095,0.000008588519,0.0001097466,0.00001719848,0.00007450742],"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":[0.00002289326,0.00003569452,0.001092724,0.00001868317,0.0001652554,0.0001217495,0.0001759174,0.00001813499,0.9851636,0.001380189,0.006255995,0.005549177],"study_design_scores_gemma":[0.003888374,0.0001763509,0.06300108,0.00009733335,0.0003383057,0.0001037285,0.002284134,0.6304504,0.1469892,0.001161419,0.1486536,0.002856166],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3873189,0.0003863484,0.5344273,0.0001306926,0.0003050993,0.00006567282,0.000002405628,0.00102894,0.07633467],"genre_scores_gemma":[0.9917477,0.00003038464,0.004427447,0.0001374795,0.0001005203,6.808269e-7,0.000003867046,0.00001579251,0.003536101],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8381744,"threshold_uncertainty_score":0.3858128,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007775014082343695,"score_gpt":0.2089385297906792,"score_spread":0.2011635157083355,"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."}}