{"id":"W3169296579","doi":"10.1109/tci.2021.3089464","title":"A Comparison of Time-Domain and Frequency-Domain Microwave Imaging of Experimental Targets","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Computational Imaging","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; University of Manitoba","keywords":"Time domain; Microwave imaging; Frequency domain; Computer science; Solver; Algorithm; Decoupling (probability); Domain (mathematical analysis); Broadband; Microwave; Computer vision; Mathematics; Telecommunications; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00006166638,0.0001278983,0.0002308841,0.00008555719,0.00008036137,0.00001731569,0.00006023578,0.00001832753,0.00005190371],"category_scores_gemma":[0.00000190641,0.0001510712,0.00008040044,0.0001981209,0.00009790553,0.00009593362,0.000002099682,0.0001263411,0.000007987567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003289126,"about_ca_system_score_gemma":0.00002577577,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001101604,"about_ca_topic_score_gemma":0.000001325625,"domain_scores_codex":[0.9991759,0.00004483925,0.0003143381,0.0001784783,0.0001537989,0.0001326364],"domain_scores_gemma":[0.9994997,0.0001912115,0.00005305864,0.0001115754,0.00008973055,0.00005474383],"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":[0.000004587368,0.0002313803,0.0001822061,0.00003734586,0.0000442383,0.000002960976,0.0006989444,0.07236148,0.9177146,0.0009831159,0.00005300937,0.007686121],"study_design_scores_gemma":[0.0005452356,0.00001903278,0.001395919,0.00007475263,0.00002742461,0.00002740335,0.0009229195,0.2796883,0.6952004,0.0218362,0.00003814098,0.0002242841],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2176684,0.0004765311,0.780874,0.000123499,0.00007957523,0.00008076028,0.00004296434,0.00004684706,0.0006073948],"genre_scores_gemma":[0.7495152,0.000002351853,0.2504016,0.00002276251,0.00001244164,0.0000142288,0.000009570297,0.0000161775,0.000005635998],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5318468,"threshold_uncertainty_score":0.6160504,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01197344187355894,"score_gpt":0.2867345773252222,"score_spread":0.2747611354516633,"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."}}