{"id":"W4205172296","doi":"10.1049/pbhe033e_ch1","title":"Point-spread functions in inverse scattering and image reconstruction with microwaves and millimeter waves","year":2021,"lang":"en","type":"book-chapter","venue":"IET eBooks","topic":"Radiation Dose and Imaging","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Scattering; Microwave imaging; Holography; Optics; Inverse scattering problem; Point spread function; Physics; Microwave; Iterative reconstruction; Fourier transform; Frequency domain; Computer science; Artificial intelligence; Computer vision","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":[0.0004900825,0.0008234543,0.0005492786,0.00123017,0.0003560625,0.00145143,0.0007139923,0.001361016,0.01143724],"category_scores_gemma":[0.0008947678,0.0004844841,0.0005534716,0.002078831,0.0009985508,0.001768577,0.0008174275,0.001688538,0.007419761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005858592,"about_ca_system_score_gemma":0.0005000934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005176505,"about_ca_topic_score_gemma":0.00064442,"domain_scores_codex":[0.9996516,0.00005376764,0.00001489157,0.00005257865,0.0002120339,0.00001525554],"domain_scores_gemma":[0.9996849,0.0001774937,0.00001144894,0.00003429312,0.00008103882,0.00001077978],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00006834986,0.00004790561,0.0003183401,0.001428016,0.00004042884,0.0003027868,0.0004313093,0.02203596,0.01625016,0.3107743,0.0904916,0.5578107],"study_design_scores_gemma":[0.00001039032,0.00007216118,0.0006922972,0.0004874225,0.00002827129,0.001358787,0.0001427072,0.04365868,0.01351205,0.2151516,0.724824,0.00006168559],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002870238,0.09652229,0.7791886,0.001375951,0.00210467,0.00007734957,0.0002373329,0.001298833,0.1163247],"genre_scores_gemma":[0.04897011,0.1395492,0.4754605,0.001218922,0.002235369,0.0002201902,0.0008158237,0.0009764085,0.3305534],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01143724,"threshold_uncertainty_score":0.03826135,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01288889502831306,"score_gpt":0.2148086406292927,"score_spread":0.2019197456009796,"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."}}