{"id":"W4417132018","doi":"10.1109/ap-s/cnc-usnc-ursi55537.2025.11266068","title":"Resolution Enhancement of Sub-Wavelength Imaging Using Magnetic-Dominated Fields","year":2025,"lang":"","type":"article","venue":"","topic":"Microwave Imaging and Scattering Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Loop antenna; Antenna (radio); Dipole antenna; Dipole; Magnetic dipole; Amplitude; Magnetic field; Electric field; Monopole antenna","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005136534,0.0003908827,0.00058719,0.0006709734,0.0001556998,0.00009721108,0.0002731152,0.0001359796,0.0006642565],"category_scores_gemma":[0.00006623938,0.0004477661,0.0002709086,0.0009673198,0.0001256337,0.0001308671,0.0001629961,0.0003419796,0.00002114664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002769988,"about_ca_system_score_gemma":0.00009358176,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008382153,"about_ca_topic_score_gemma":0.00002844981,"domain_scores_codex":[0.9975581,0.0001058037,0.0009989277,0.0004858363,0.0002418305,0.0006094752],"domain_scores_gemma":[0.9988504,0.00009311329,0.0001328551,0.0006489523,0.0001901127,0.00008458386],"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":[0.0000409982,0.0001343534,0.0009895753,0.0009165846,0.0003818571,0.00001257318,0.0004997022,0.02562581,0.8723171,0.0002486619,0.002915761,0.09591707],"study_design_scores_gemma":[0.0004100088,0.00001969063,0.0002218908,0.0005070443,0.0003375996,0.000003871334,0.0001709872,0.6375241,0.36007,0.00006609524,0.0004118799,0.0002568449],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4896237,0.00565263,0.492798,0.0005190183,0.0007452794,0.0001833022,0.000008281532,0.0001033963,0.01036636],"genre_scores_gemma":[0.9891273,0.0007209816,0.007496743,0.0001126394,0.00005240665,0.000005222528,0.000009302185,0.00003269917,0.002442702],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6118983,"threshold_uncertainty_score":0.9997974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00791044808741872,"score_gpt":0.2319798139312423,"score_spread":0.2240693658438236,"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."}}