{"id":"W2132977254","doi":"10.1109/aps.2008.4619732","title":"Free-space sub-diffraction imaging using a transmission-line superlens","year":2008,"lang":"en","type":"article","venue":"","topic":"Metamaterials and Metasurfaces Applications","field":"Materials Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Superlens; Beamwidth; Metamaterial; Optics; Diffraction; Free space; Physics; Wavelength; Computer science; Telecommunications","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003549504,0.0001514671,0.0002196364,0.00005623346,0.0004306307,0.00005842662,0.0002176058,0.00004408171,0.002345834],"category_scores_gemma":[0.00003573363,0.0001216709,0.0000657386,0.0001571304,0.00008210741,0.0003388109,0.00004507332,0.00005950541,0.0001709212],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003449643,"about_ca_system_score_gemma":0.00006361863,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004971042,"about_ca_topic_score_gemma":0.00001153248,"domain_scores_codex":[0.9987485,0.00007184397,0.0003070979,0.000330337,0.0002496722,0.0002925769],"domain_scores_gemma":[0.9992012,0.00004494137,0.00008695263,0.0004490073,0.00008454032,0.000133365],"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":[0.00001212486,0.00004976834,0.0001176226,0.000009780615,0.000002440749,0.000004573239,0.0001267343,0.000287752,0.9979867,0.00032836,0.0007547716,0.0003193831],"study_design_scores_gemma":[0.0003098606,0.00001049748,0.0005647799,0.00001172998,0.00002538556,0.0001020083,0.00006060932,0.006577071,0.9749102,0.000285626,0.01696934,0.0001728974],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9281422,0.000242415,0.06951624,0.0007655512,0.0002910934,0.000205761,0.00002755834,0.0001623085,0.0006468232],"genre_scores_gemma":[0.9449082,0.0002160722,0.05400654,0.0001516785,0.000127464,0.00001810206,0.000009864303,0.00002483258,0.00053722],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0230765,"threshold_uncertainty_score":0.9985662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04573349997854389,"score_gpt":0.2788018983608547,"score_spread":0.2330683983823108,"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."}}