{"id":"W2592191139","doi":"","title":"Microwave tomography for breast cancer detection: Study of dispersion and heterogeneity effects","year":2006,"lang":"en","type":"article","venue":"International Symposium on Antenna Technology and Applied Electromagnetics","topic":"Microwave Imaging and Scattering Analysis","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Microwave imaging; Mammography; Breast cancer; Dispersion (optics); Inverse scattering problem; Inverse problem; Medical imaging; Iterative reconstruction; Dielectric; Microwave; Scattering; Computer science; Materials science; Acoustics; Optics; Cancer; Physics; Mathematics; Computer vision; Artificial intelligence; Medicine; Mathematical analysis; Telecommunications; Optoelectronics","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":[0.0002460615,0.0002237084,0.0002191479,0.0003085442,0.0001028838,0.0001902371,0.0001822495,0.0003674706,0.000316842],"category_scores_gemma":[0.00113399,0.0001179834,0.0001493919,0.0003100492,0.0002324487,0.0003611694,0.000159883,0.000217396,0.00008418416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002022904,"about_ca_system_score_gemma":0.0001246391,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003370328,"about_ca_topic_score_gemma":0.0004131954,"domain_scores_codex":[0.9999073,0.00002776591,0.000002073164,0.00001346411,0.00004376435,0.000005776219],"domain_scores_gemma":[0.9996426,0.000262592,0.00003668722,0.0000212152,0.0000267925,0.00001011042],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.000271639,0.0001139531,0.008316083,0.0003086028,0.00009833564,0.0005834315,0.0003387993,0.1155446,0.723124,0.01377069,0.0006516095,0.1368784],"study_design_scores_gemma":[0.0000326406,0.0002203812,0.007060128,0.00002626276,0.00006152634,0.001885016,0.00005506519,0.7999411,0.1845595,0.003079401,0.003051171,0.00002779874],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4306806,0.004673052,0.5594923,0.0005673101,0.00003363851,0.00003690756,0.00003320048,0.0002571399,0.00422571],"genre_scores_gemma":[0.9083771,0.001701829,0.08788003,0.00004822624,0.00003169487,0.00002608248,0.000034098,0.00003756766,0.001863404],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0003674706,"threshold_uncertainty_score":0.001467645,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002399183098735015,"score_gpt":0.1965770566079255,"score_spread":0.1941778735091905,"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."}}