{"id":"W3141056651","doi":"10.1109/mwsym.2011.5972967","title":"Detecting buried objects with subwavelength resolution using a near-field antenna-array probe","year":2011,"lang":"en","type":"article","venue":"2011 IEEE MTT-S International Microwave Symposium","topic":"Near-Field Optical Microscopy","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Optics; Dielectric; Wavelength; Antenna (radio); Dipole antenna; Reflection coefficient; Near and far field; Resolution (logic); Dipole; Materials science; Image resolution; Reflection (computer programming); Antenna array; Physics; Optoelectronics; Telecommunications; Computer science","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":[0.0002307066,0.0003734621,0.0004001147,0.0003106902,0.0001487319,0.0004297921,0.00049533,0.0007370035,0.0007776413],"category_scores_gemma":[0.0005401107,0.0003020943,0.0001368973,0.0001941509,0.0002639999,0.0008143872,0.0006379356,0.0004294698,0.0004325212],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002560074,"about_ca_system_score_gemma":0.0001815096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001421877,"about_ca_topic_score_gemma":0.0002745528,"domain_scores_codex":[0.9997941,0.00003202801,0.000008380404,0.00006723138,0.00007479553,0.00002350166],"domain_scores_gemma":[0.9995468,0.000176243,0.0001021663,0.00006445328,0.00006926159,0.00004116333],"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":[0.00003672429,0.00001165748,0.0001546552,0.00001631912,0.000002627571,0.00002237516,0.00001935644,0.0002952171,0.9962919,0.0001140467,0.00003152251,0.003003652],"study_design_scores_gemma":[0.00001869814,0.0002930504,0.002018177,0.00000526072,0.00001344059,0.0004379884,0.00004304369,0.01846717,0.9773124,0.0003002724,0.001071272,0.00001926936],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8400167,0.0006362126,0.1566253,0.0001467547,0.00003877019,0.00003020079,0.000108275,0.000544767,0.001852916],"genre_scores_gemma":[0.7998914,0.0002789505,0.1975792,0.000094056,0.00002156318,0.00004409758,0.000112372,0.00003117476,0.001947209],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007776413,"threshold_uncertainty_score":0.002601445,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01886256676711551,"score_gpt":0.2225137586068981,"score_spread":0.2036511918397826,"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."}}