{"id":"W2038816841","doi":"10.1007/s10762-014-0133-5","title":"A New 2-Dimensional Millimeter Wave Radiation Imaging System Based on Finite Difference Regularization","year":2015,"lang":"en","type":"article","venue":"Journal of Infrared Millimeter and Terahertz Waves","topic":"Microwave Imaging and Scattering Analysis","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Radiometer; Brightness temperature; Brightness; Regularization (linguistics); Remote sensing; Extremely high frequency; Aperture synthesis; Inverse problem; Image resolution; Physics; Millimeter; Optics; Computer science; Artificial intelligence; Mathematics; Geology; Interferometry","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":[0.0003156023,0.000355053,0.0006132009,0.0002881119,0.0002670407,0.0005273919,0.0009065268,0.0006432199,0.002044535],"category_scores_gemma":[0.0003086307,0.0003315696,0.0003520836,0.0002756308,0.0002151114,0.0008401209,0.000723387,0.0005588735,0.0007769904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002661039,"about_ca_system_score_gemma":0.0005796592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004452116,"about_ca_topic_score_gemma":0.001017363,"domain_scores_codex":[0.9997439,0.00004979655,0.00001134908,0.00004803987,0.0001314932,0.00001546151],"domain_scores_gemma":[0.9997806,0.00005936272,0.0000258604,0.0000368825,0.00006970054,0.0000275917],"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":[0.0002691998,0.0001619096,0.001437765,0.0001551634,0.00007575327,0.0001629969,0.0001529193,0.01549641,0.8308081,0.007788702,0.002920255,0.1405707],"study_design_scores_gemma":[0.00007468495,0.0003879557,0.001851866,0.00002282159,0.00006264931,0.0006986,0.00003156773,0.8215425,0.1560872,0.00135636,0.01775562,0.0001280501],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03223824,0.0001768738,0.9633567,0.0002081783,0.00008506749,0.00005812396,0.00007595644,0.001180347,0.002620515],"genre_scores_gemma":[0.148225,0.0001308571,0.8466014,0.0002596724,0.00004740387,0.0001248324,0.0002005879,0.00009210159,0.004318102],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002044535,"threshold_uncertainty_score":0.006839633,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01172989421045803,"score_gpt":0.1993236721867233,"score_spread":0.1875937779762652,"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."}}