{"id":"W2134874312","doi":"10.2528/pier08121904","title":"BROADBAND EXPERIMENTAL CHARACTERIZATION OF ARTIFICIAL MAGNETIC MATERIALS BASED ON A MICROSTRIP LINE METHOD","year":2009,"lang":"en","type":"article","venue":"Electromagnetic waves","topic":"Advanced Antenna and Metasurface Technologies","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Broadband; Characterization (materials science); Microstrip; Materials science; Line (geometry); Computer science; Engineering; Electronic engineering; Nanotechnology; Telecommunications; Mathematics","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":[0.0003555445,0.0003206316,0.000170913,0.0004845765,0.0001483767,0.0002120381,0.0003058891,0.0004589247,0.001781169],"category_scores_gemma":[0.0005996747,0.000157098,0.00009864864,0.000307514,0.0004849392,0.0003943613,0.0001955587,0.000202978,0.000348901],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001534716,"about_ca_system_score_gemma":0.00004745384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001013267,"about_ca_topic_score_gemma":0.0001111859,"domain_scores_codex":[0.9997641,0.00006866685,0.00001306131,0.00004122406,0.00009661439,0.00001622439],"domain_scores_gemma":[0.9993293,0.000241272,0.0001658945,0.0001077877,0.0001327354,0.00002294316],"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":[0.00006915422,0.00001564612,0.0002355576,0.00004000977,0.0000036947,0.00004223166,0.0000339619,0.0002652143,0.9967121,0.0007733859,0.00005391023,0.001755204],"study_design_scores_gemma":[0.0000220038,0.0001918456,0.002075806,0.00001344243,0.00000974476,0.0002879851,0.00004614912,0.01091591,0.9844114,0.0002611946,0.001751124,0.00001330042],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9026662,0.0005385515,0.0888836,0.0001243129,0.00005796234,0.00004073247,0.0002608441,0.000415856,0.007011892],"genre_scores_gemma":[0.9747677,0.000124347,0.02435848,0.00001636702,0.000008755422,0.00002801989,0.00006016982,0.00001803918,0.0006182202],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001781169,"threshold_uncertainty_score":0.005958617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009077661387578723,"score_gpt":0.2440294536901688,"score_spread":0.23495179230259,"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."}}