{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001742266,0.0002505924,0.000430137,0.0002710597,0.0001249008,0.0003886268,0.0006356318,0.0004239577,0.001604182],"category_scores_gemma":[0.0002602825,0.0002001573,0.000199061,0.0002512074,0.000284291,0.0005668509,0.0004252598,0.0002934548,0.0006266473],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001657822,"about_ca_system_score_gemma":0.0002822145,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002953488,"about_ca_topic_score_gemma":0.0004826763,"domain_scores_codex":[0.9997445,0.00003922597,0.00001000295,0.00005493538,0.0001271001,0.00002426438],"domain_scores_gemma":[0.999785,0.00005115554,0.00004866325,0.00004923087,0.00005023289,0.00001581797],"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":[0.0001674697,0.00005487118,0.001026008,0.0002320058,0.00002595517,0.0002387324,0.00009450359,0.000855631,0.9079262,0.001666832,0.001233908,0.08647786],"study_design_scores_gemma":[0.0001342978,0.001690117,0.01271991,0.00004849765,0.000139578,0.004909845,0.0001514307,0.03705041,0.9227936,0.0006643143,0.01958437,0.0001136257],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3739321,0.002809703,0.6041012,0.0006798627,0.0002773567,0.0003472015,0.0004348172,0.002630292,0.01478753],"genre_scores_gemma":[0.6995192,0.001085129,0.2895185,0.0003975306,0.0001256266,0.0001032525,0.0002352157,0.00003671629,0.008978881],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001604182,"threshold_uncertainty_score":0.005366504,"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."}}