{"id":"W3046574104","doi":"10.1109/tci.2020.3012940","title":"Improved Tumor Detection via Quantitative Microwave Breast Imaging Using Eigenfunction-Based Prior","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Computational Imaging","topic":"Microwave Imaging and Scattering Analysis","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Canadian Cancer Society Research Institute","keywords":"Eigenfunction; Microwave imaging; Iterative reconstruction; Microwave; Algorithm; Basis function; Basis (linear algebra); Iterative method; Mathematics; Computer science; Mathematical analysis; Physics; Artificial intelligence; Geometry; Eigenvalues and eigenvectors","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007895078,0.0006460013,0.0004708621,0.0007540283,0.0001483721,0.0005808084,0.0006567001,0.0005683229,0.001065861],"category_scores_gemma":[0.002166891,0.0004231441,0.0003836003,0.0004648788,0.0004207882,0.0009585927,0.0008199012,0.0005555265,0.0004413905],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003268506,"about_ca_system_score_gemma":0.0004292426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006649275,"about_ca_topic_score_gemma":0.001200849,"domain_scores_codex":[0.9997285,0.00007359354,0.00001212019,0.00004248509,0.0001215827,0.0000216789],"domain_scores_gemma":[0.9990428,0.0005735882,0.0001100417,0.000108114,0.0001430515,0.00002234744],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003875738,0.000156851,0.001727185,0.0002123644,0.00005659608,0.0001039356,0.000188241,0.2125715,0.3823671,0.01350406,0.000987845,0.3877366],"study_design_scores_gemma":[0.0000105132,0.0000671888,0.0007240761,0.000008553314,0.00001094404,0.000153571,0.00001139179,0.9552635,0.04101219,0.001882739,0.0008327184,0.00002260375],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01338236,0.00005285806,0.9859388,0.00004036101,0.000003444741,0.0000143553,0.00001973088,0.0002815481,0.0002665153],"genre_scores_gemma":[0.1135894,0.0001011179,0.8851463,0.00003474023,0.000007367862,0.00005218295,0.0001054521,0.00007096698,0.0008924373],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001065861,"threshold_uncertainty_score":0.004175365,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01357992624064342,"score_gpt":0.2280369554756168,"score_spread":0.2144570292349734,"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."}}