{"id":"W2123479180","doi":"10.1109/tip.2009.2017340","title":"Chaos UWB Radar for Through-the-Wall Imaging","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Image Processing","topic":"Microwave Imaging and Scattering Analysis","field":"Engineering","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Radar; Robustness (evolution); Finite-difference time-domain method; Radar imaging; Computer science; Modulation (music); Ultra-wideband; Optics; Acoustics; Physics; 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":[],"consensus_categories":[],"category_scores_codex":[0.0001422107,0.0002423871,0.0002096054,0.0001231746,0.0004950325,0.0002629245,0.0002135388,0.00004077779,0.00002704081],"category_scores_gemma":[0.000003735222,0.000212209,0.0001854629,0.0003073256,0.00006441159,0.0004292532,4.632402e-7,0.000282623,0.00002926244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007641884,"about_ca_system_score_gemma":0.00002247465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001679579,"about_ca_topic_score_gemma":0.000004789099,"domain_scores_codex":[0.9988881,0.00001682701,0.0002724579,0.0002735994,0.0001526721,0.0003962958],"domain_scores_gemma":[0.9995103,0.00004623539,0.00004115361,0.0002794769,0.00006754142,0.00005531567],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003126004,0.000110775,0.000002837017,0.0002563614,0.00009483528,0.00001349997,0.002587741,0.04308495,0.2968286,0.000006898652,0.002833145,0.6541491],"study_design_scores_gemma":[0.000878799,0.0000485925,0.00002607877,0.0002860839,0.0003032129,0.0001135032,0.0004244806,0.6372566,0.3478818,0.00104256,0.01096899,0.0007693089],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001812067,0.0006327618,0.9929971,0.00228332,0.0002050772,0.0001613078,0.00001261491,0.0006250346,0.001270756],"genre_scores_gemma":[0.9732127,0.0000508133,0.0253815,0.0008044261,0.00008545036,0.00003962545,0.000003389524,0.00005430137,0.0003678233],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9714006,"threshold_uncertainty_score":0.8653632,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01041359777315129,"score_gpt":0.2438079952805152,"score_spread":0.2333943975073639,"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."}}