{"id":"W2767046275","doi":"10.1109/apusncursinrsm.2017.8073231","title":"Super-resolution far-field imaging of structured objects using superoscillations","year":2017,"lang":"en","type":"article","venue":"","topic":"Near-Field Optical Microscopy","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Diffraction; Optics; Near and far field; Point spread function; Limit (mathematics); Image resolution; Resolution (logic); Fourier transform; Physics; Antenna (radio); Computer science; Artificial intelligence; Telecommunications; Mathematics; Mathematical analysis","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":[0.000283167,0.000315723,0.0002889032,0.0002253297,0.000122446,0.0003523162,0.0002919743,0.0003138076,0.0005988086],"category_scores_gemma":[0.0005259298,0.0002099708,0.0001644404,0.0002485984,0.0004830859,0.0006566923,0.000411747,0.0003483514,0.0002006375],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002936193,"about_ca_system_score_gemma":0.0002197425,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002425004,"about_ca_topic_score_gemma":0.0004309912,"domain_scores_codex":[0.9998573,0.00002511938,0.000006511889,0.00002044896,0.00006971626,0.0000208131],"domain_scores_gemma":[0.9994712,0.0002408124,0.0001047855,0.00006615456,0.00007758572,0.00003949463],"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":[0.00004598373,0.0000105935,0.0001429693,0.00003426198,0.000004276656,0.00007518557,0.00004873307,0.002031084,0.9873246,0.002285342,0.0000724569,0.007924576],"study_design_scores_gemma":[0.000009705539,0.0001016066,0.0008353858,0.000004892517,0.000005572019,0.0002233724,0.00001545067,0.02793205,0.9680624,0.0008326827,0.001960525,0.00001651305],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7271466,0.0005736105,0.2682675,0.0001417,0.00002763626,0.00003277418,0.00006182127,0.0005187232,0.003229687],"genre_scores_gemma":[0.8175163,0.0004918583,0.1797459,0.00006381703,0.00001997316,0.00003687354,0.00007790735,0.00006316901,0.001984262],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005988086,"threshold_uncertainty_score":0.00213033,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0153138034305176,"score_gpt":0.26653929906654,"score_spread":0.2512254956360224,"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."}}