{"id":"W2164384452","doi":"10.1109/aps.2008.4619728","title":"Inductance improvement by using artificial magnetic conductor surfaces","year":2008,"lang":"en","type":"article","venue":"","topic":"Advanced Antenna and Metasurface Technologies","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Inductance; Inductor; Conductor; Equivalent series inductance; Electrical conductor; LCR meter; Materials science; Kinetic inductance; Electronic engineering; Engineering; Electrical engineering; Voltage; Composite material","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":[0.000153383,0.0001790729,0.0001670827,0.0001696052,0.0001006373,0.0004895572,0.000208814,0.0002992349,0.0004764026],"category_scores_gemma":[0.000540875,0.0001384669,0.0001675391,0.0001167606,0.0002822977,0.0003476952,0.0002560653,0.0001303979,0.0002003605],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002197473,"about_ca_system_score_gemma":0.0001039708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001084067,"about_ca_topic_score_gemma":0.0001605186,"domain_scores_codex":[0.9998902,0.0000254577,0.000004971498,0.00001217564,0.00004695875,0.00002022577],"domain_scores_gemma":[0.9997491,0.0001034669,0.00005184166,0.00003549063,0.00004882867,0.00001126685],"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":[0.0001218594,0.00003391809,0.00117376,0.0001716507,0.00001730415,0.0002518068,0.0001325802,0.03693589,0.9384827,0.002848417,0.0003690416,0.01946109],"study_design_scores_gemma":[0.00006542315,0.000551136,0.0019046,0.00001635616,0.000037142,0.0005390509,0.0001118842,0.2527585,0.7293429,0.001272323,0.01337217,0.00002844611],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9070706,0.0004568945,0.07926051,0.0002235769,0.00005245046,0.0000187014,0.00002286726,0.000563626,0.0123308],"genre_scores_gemma":[0.9874911,0.00008270799,0.01191831,0.00002044329,0.000006678254,0.000005324328,0.00001176864,0.00002051166,0.000443056],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004895572,"threshold_uncertainty_score":0.001594365,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03744644954916033,"score_gpt":0.2320564419281719,"score_spread":0.1946099923790116,"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."}}