{"id":"W4293868640","doi":"10.1109/ims37962.2022.9865387","title":"Rydberg Atomic Electrometry: A Near-Field Technology for Complete Far-Field Imaging in Seconds?","year":2022,"lang":"en","type":"article","venue":"2022 IEEE/MTT-S International Microwave Symposium - IMS 2022","topic":"Cold Atom Physics and Bose-Einstein Condensates","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Rydberg formula; Electric field; Physics; Rydberg atom; Near and far field; Bandwidth (computing); Terahertz radiation; Sensitivity (control systems); Atomic physics; Optics; Optoelectronics; Telecommunications; Computer science; Electronic engineering; Engineering; Quantum mechanics","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000346131,0.0004111669,0.0004617679,0.0006023151,0.0005062175,0.0002107484,0.001100015,0.00007101669,0.004231555],"category_scores_gemma":[0.00001929048,0.0004972692,0.0003651937,0.0008112626,0.00007109697,0.0002167361,0.0006883874,0.0009209152,0.000044694],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003882893,"about_ca_system_score_gemma":0.0002209794,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005235223,"about_ca_topic_score_gemma":0.0001052106,"domain_scores_codex":[0.9972476,0.00008110005,0.0006559709,0.0008528762,0.0004417086,0.0007206931],"domain_scores_gemma":[0.9985847,0.0003794734,0.0003275913,0.0004779818,0.0001396243,0.00009055407],"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":[0.0002097511,0.0003978112,0.02581034,0.00002029932,0.0003203736,0.00002794816,0.0003187181,0.0002511774,0.9011676,0.04013385,0.01551294,0.01582917],"study_design_scores_gemma":[0.005629646,0.000820482,0.0004453931,0.00007436238,0.0001393084,0.00009562015,0.002838498,0.04638997,0.4387489,0.07488707,0.4279688,0.001961892],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9697452,0.0003268904,0.003751729,0.01245047,0.003657518,0.0009494555,0.0008928065,0.0001164765,0.008109462],"genre_scores_gemma":[0.9937785,0.00001597863,0.0003702132,0.001568679,0.0004566915,0.0007637026,0.0004533325,0.00008147623,0.002511428],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4624187,"threshold_uncertainty_score":0.9997479,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005989558592300467,"score_gpt":0.2400072005143536,"score_spread":0.2340176419220531,"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."}}