{"id":"W2319089651","doi":"10.1109/tmag.2014.2317797","title":"Detection of Localized Magnetostatic Surface Resonant Spheres","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Magnetics","topic":"Advanced Antenna and Metasurface Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"SPHERES; Resonance (particle physics); Physics; Magnetic field; Reflection coefficient; Surface (topology); Reflection (computer programming); Computational physics; Optics; Nuclear magnetic resonance; Acoustics; Atomic physics; Computer science; Quantum mechanics; Geometry","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":[0.0001677584,0.0003007362,0.0003778572,0.0001683027,0.0001760124,0.0003209852,0.0007217873,0.0006509592,0.0007202942],"category_scores_gemma":[0.000502556,0.0001998415,0.0002029873,0.0001204324,0.0005615861,0.000720474,0.0006834323,0.0003417222,0.0004594712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003740478,"about_ca_system_score_gemma":0.000129496,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002529535,"about_ca_topic_score_gemma":0.0003304399,"domain_scores_codex":[0.9997544,0.00003839182,0.000008325959,0.00006780137,0.0001032081,0.00002788423],"domain_scores_gemma":[0.9996858,0.0001158571,0.00005945261,0.00004953099,0.00006292155,0.0000265069],"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":[0.00007129177,0.00001856856,0.0002414833,0.00005628505,0.000005360224,0.0001061844,0.00007115993,0.0009400267,0.983382,0.002982532,0.0002825682,0.01184244],"study_design_scores_gemma":[0.00001694214,0.0001715794,0.0004163679,0.000004062727,0.000007470147,0.0001766935,0.00003987235,0.04178553,0.9542614,0.0006687064,0.002435258,0.00001618213],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6403338,0.0008196715,0.3489426,0.0005265616,0.0001388342,0.0001039907,0.00006510405,0.001000874,0.008068611],"genre_scores_gemma":[0.941719,0.0001819387,0.05532056,0.0001399827,0.00003094459,0.00004369512,0.0000360355,0.00003229019,0.002495624],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007217873,"threshold_uncertainty_score":0.002713919,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00897336749677605,"score_gpt":0.2066712607508638,"score_spread":0.1976978932540878,"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."}}