{"id":"W3098149900","doi":"10.3390/s20226527","title":"Ka Band Holographic Imaging System Based on Linear Frequency Modulation Radar","year":2020,"lang":"en","type":"article","venue":"Sensors","topic":"Terahertz technology and applications","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Southwest Jiaotong University; Fundamental Research Funds for the Central Universities; Ministry of Science and Technology of the People's Republic of China; Ministry of Education of the People's Republic of China","keywords":"Sensitivity (control systems); Radar; Computer science; Image resolution; Extremely high frequency; Holography; Spatial frequency; Calibration; Modulation (music); Millimeter; Planar; Optics; Remote sensing; Computer vision; Electronic engineering; Acoustics; Physics; Engineering; Computer graphics (images); Telecommunications; Geology","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":[0.00003213235,0.00009671775,0.00009131022,0.00007711089,0.0000606767,0.000007836446,0.00008229149,0.00007209702,0.00001148182],"category_scores_gemma":[0.00001130273,0.000099515,0.00003866853,0.0002550489,0.00002920531,0.00002870535,0.000003810497,0.0001630125,0.00008216066],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002056261,"about_ca_system_score_gemma":0.000003485779,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004555824,"about_ca_topic_score_gemma":8.112568e-7,"domain_scores_codex":[0.9995288,0.00001337036,0.000118453,0.0001510285,0.00006231608,0.0001260423],"domain_scores_gemma":[0.9997177,0.00002293846,0.00001798341,0.0001846554,0.00001347132,0.00004330926],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003532718,0.0000778764,0.03460697,0.0005008156,0.0001092713,0.0001344408,0.0007669971,0.6806572,0.2194316,0.01618922,0.002438868,0.04505136],"study_design_scores_gemma":[0.0002140198,0.00001544858,0.005259644,0.00002394364,0.00001066665,0.000003499531,0.0000600535,0.9837811,0.008118016,0.00009865905,0.002276215,0.0001387629],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9774393,0.00007664219,0.01431157,0.002000654,0.0001027067,0.0001851742,0.00001815777,0.002163106,0.003702624],"genre_scores_gemma":[0.9975021,0.000002876089,0.002226826,0.0001479099,0.00006502557,0.00001334372,0.00001480668,0.00002277211,0.000004357536],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3031238,"threshold_uncertainty_score":0.4058104,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008170350113656159,"score_gpt":0.1943685738832411,"score_spread":0.1861982237695849,"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."}}