{"id":"W2072598323","doi":"10.1109/eucap.2014.6901695","title":"Beamforming in the frequency domain with applications to microwave breast imaging","year":2014,"lang":"en","type":"article","venue":"","topic":"Microwave Imaging and Scattering Analysis","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Beamforming; Frequency domain; Microwave imaging; Computer science; Time domain; Radar imaging; Radar; Domain (mathematical analysis); Algorithm; Electronic engineering; Microwave; Telecommunications; Mathematics; Engineering; Computer vision","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":[0.0003851712,0.0007010879,0.0003640337,0.0005503058,0.0002140212,0.0006652758,0.000286478,0.000865061,0.003887873],"category_scores_gemma":[0.0009894557,0.0002745154,0.0003589898,0.001264303,0.0005500711,0.0006640378,0.0006005653,0.0007032543,0.002118561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000229554,"about_ca_system_score_gemma":0.0002998741,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005016238,"about_ca_topic_score_gemma":0.0006409923,"domain_scores_codex":[0.9997873,0.0000579495,0.00001522862,0.0000380352,0.000086136,0.00001533407],"domain_scores_gemma":[0.9997205,0.0001463167,0.00002264812,0.00002313081,0.0000766279,0.00001072242],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001093399,0.0000673272,0.0003730808,0.0003616434,0.00004528976,0.0002729806,0.0001571449,0.1009604,0.1342935,0.1770313,0.00605352,0.5802746],"study_design_scores_gemma":[0.000067134,0.0004087282,0.001021105,0.0002374958,0.00006002699,0.00212272,0.0001833619,0.5799652,0.07595768,0.1756994,0.1641203,0.0001568252],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001345465,0.001765356,0.9924638,0.0002702642,0.0001173283,0.00001706965,0.00002575879,0.0001617953,0.003833036],"genre_scores_gemma":[0.04018271,0.01142699,0.938202,0.0002769401,0.0004620348,0.00009642162,0.0001202827,0.0001042354,0.009128381],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003887873,"threshold_uncertainty_score":0.01300621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003529341812623067,"score_gpt":0.1916566544961473,"score_spread":0.1881273126835243,"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."}}