{"id":"W1931747851","doi":"10.1109/ursi-at-rasc.2015.7302945","title":"On the achievable resolution from microwave tomography","year":2015,"lang":"en","type":"article","venue":"","topic":"Microwave Imaging and Scattering Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Georgian College; University of Manitoba","funders":"","keywords":"Microwave; Microwave imaging; Image resolution; Ranging; Inverse scattering problem; Wavelength; Inverse problem; Resolution (logic); Optics; Computer science; Iterative reconstruction; Tomography; Electromagnetic radiation; Physics; Scattering; Computer vision; Artificial intelligence; Telecommunications; Mathematics; Mathematical analysis","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":[0.0001655962,0.00009562281,0.00008613077,0.00006852936,0.00004526448,0.00005731306,0.0001315395,0.00003126809,0.000100206],"category_scores_gemma":[0.00002000523,0.00006440734,0.00006891057,0.0001845325,0.00002368019,0.00003677102,0.00001616105,0.0001194941,0.0003575246],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000314656,"about_ca_system_score_gemma":0.000004653378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002559757,"about_ca_topic_score_gemma":0.00004183644,"domain_scores_codex":[0.9994913,0.00002760758,0.00009973444,0.0001155496,0.0001090338,0.000156732],"domain_scores_gemma":[0.9995505,0.00005874301,0.00001017934,0.0003007733,0.00001899108,0.00006084404],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001960725,0.00003778275,0.001387877,0.000008080238,0.000223997,0.000006515709,0.0008542502,0.03950046,0.1119654,0.002077137,0.8404729,0.003446012],"study_design_scores_gemma":[0.001200384,0.0001216814,0.003717548,0.0001342476,0.0002282628,0.00001341976,0.001371191,0.5705414,0.269911,0.02963773,0.1218245,0.00129863],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8465249,0.0005672314,0.0474005,0.001644459,0.0003306822,0.00007195074,0.00001316533,0.0006121034,0.102835],"genre_scores_gemma":[0.9977752,0.000008386791,0.001209227,0.0003379013,0.00006448229,0.000004583288,0.00001238025,0.00001563153,0.0005721939],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7186484,"threshold_uncertainty_score":0.4595375,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01743209459983548,"score_gpt":0.1929922555323717,"score_spread":0.1755601609325362,"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."}}