{"id":"W2904797792","doi":"10.1109/antem.2018.8573035","title":"Tissue-Type Imaging for Ultrasound-Prior Microwave Inversion","year":2018,"lang":"en","type":"article","venue":"","topic":"Microwave Imaging and Scattering Analysis","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; University of Manitoba","funders":"","keywords":"Microwave imaging; Microwave; Permittivity; Computer science; Computer vision; Iterative reconstruction; Inversion (geology); Ultrasound; Segmentation; Artificial intelligence; Finite element method; Optics; Materials science; Acoustics; Physics; Geology; Optoelectronics; Telecommunications; Dielectric","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":[0.0001209464,0.0001439895,0.0001453793,0.0001131467,0.0001204782,0.00007384196,0.0001432793,0.00003471357,0.000225776],"category_scores_gemma":[0.00003711321,0.0001407379,0.00006517739,0.0001861198,0.000059989,0.00009219869,0.00002098383,0.00006569194,0.0004229669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000508726,"about_ca_system_score_gemma":0.00000838341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004461274,"about_ca_topic_score_gemma":0.00003257432,"domain_scores_codex":[0.9992746,0.000008442176,0.0001580563,0.0001970574,0.00007210186,0.0002897475],"domain_scores_gemma":[0.9995151,0.00005735775,0.00001672523,0.0002513486,0.00008800573,0.00007149593],"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":[0.000005161037,0.000005427813,0.0006835135,0.00003330556,0.00003793427,0.000001149714,0.0002004827,0.00007551644,0.8831389,0.00002318439,0.09474808,0.02104738],"study_design_scores_gemma":[0.0002804691,0.00002888433,0.0002048118,0.00002622515,0.00005610274,0.00002262814,0.0001268624,0.0366288,0.8498375,0.0002086825,0.1122702,0.0003088584],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.470024,0.0005778403,0.4986127,0.0005733293,0.001559806,0.0002593093,0.00001307087,0.001377499,0.02700243],"genre_scores_gemma":[0.9806653,0.00002507437,0.01677078,0.0002913693,0.0002869739,0.000003922571,0.00001939321,0.000040559,0.001896692],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5106412,"threshold_uncertainty_score":0.5739125,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008678484759800664,"score_gpt":0.2339632682402702,"score_spread":0.2252847834804696,"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."}}