{"id":"W2130472414","doi":"10.1109/tap.2010.2050438","title":"Artificial Magnetic Materials Using Fractal Hilbert Curves","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Antennas and Propagation","topic":"Advanced Antenna and Metasurface Technologies","field":"Engineering","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Fractal; Miniaturization; Homogeneity (statistics); Materials science; Hilbert curve; Mathematical analysis; Mathematics; Algorithm","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":[0.0001828845,0.00027764,0.0002510869,0.0004431899,0.0001817653,0.0007180185,0.0003239868,0.0004612619,0.0007774893],"category_scores_gemma":[0.0005218407,0.000156137,0.0001708008,0.0004009448,0.0005525911,0.0008065281,0.0003472672,0.0002570591,0.000284077],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003259972,"about_ca_system_score_gemma":0.0001413332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005379119,"about_ca_topic_score_gemma":0.00008732278,"domain_scores_codex":[0.9998652,0.00004360695,0.000007442574,0.00001566394,0.00004706369,0.00002108809],"domain_scores_gemma":[0.9997244,0.0000896206,0.00006268405,0.000048203,0.00004685064,0.00002814422],"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":[0.0002093427,0.00005747111,0.0007851718,0.0002445728,0.00003358477,0.0004155964,0.0002114749,0.01801063,0.7089484,0.2065916,0.001541874,0.06295031],"study_design_scores_gemma":[0.0001283024,0.0008079117,0.001832343,0.00006249357,0.0000404565,0.0033728,0.0001563251,0.2559936,0.6252041,0.0548874,0.0573878,0.000126596],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6051859,0.002781865,0.3530976,0.0006135614,0.0002388216,0.00009707516,0.0001251962,0.001031569,0.03682848],"genre_scores_gemma":[0.934618,0.0003666425,0.06266992,0.00005497437,0.00002700575,0.00004167359,0.00004245996,0.00002716658,0.002152172],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007774893,"threshold_uncertainty_score":0.002600968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01713984324231188,"score_gpt":0.2373408811870203,"score_spread":0.2202010379447084,"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."}}