{"id":"W2136947024","doi":"10.1109/iembs.2001.1017250","title":"Confocal microwave imaging for breast tumor detection: a study of resolution and detection ability","year":2005,"lang":"en","type":"article","venue":"","topic":"Microwave Imaging and Scattering Analysis","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Microwave imaging; Resolution (logic); Image resolution; Breast tumor; Confocal; Microwave; High resolution; Biomedical engineering; Materials science; Optics; Breast cancer; Remote sensing; Computer science; Medicine; Artificial intelligence; Geology; Cancer; Physics","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":[0.0002425536,0.000115054,0.0001696604,0.0001133005,0.00007835017,0.00003066291,0.00004390812,0.0000206943,0.00001179857],"category_scores_gemma":[0.00001375106,0.0001162731,0.00005533853,0.0001198383,0.00003607279,0.0001023032,0.00001625192,0.00007993576,0.00000226033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007260864,"about_ca_system_score_gemma":0.000003871161,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001841349,"about_ca_topic_score_gemma":0.00080943,"domain_scores_codex":[0.9992958,0.00002433841,0.0002565267,0.0001946901,0.00007104895,0.0001576462],"domain_scores_gemma":[0.9996551,0.00003548728,0.00003311034,0.0001688633,0.00006352391,0.00004389741],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003908,0.00007874333,0.001913604,0.00007970047,0.00006597824,5.451968e-7,0.0004743356,0.004284211,0.7645225,0.000001633029,0.00004125602,0.2284984],"study_design_scores_gemma":[0.001040407,0.00008531351,0.02300954,0.00001577662,0.0001135055,0.000156457,0.001136391,0.7495437,0.2243391,0.00002976654,0.0003022817,0.0002278102],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7938321,0.00007873541,0.2055139,0.00004642222,0.00005516506,0.0001731338,0.000006029823,0.0001473379,0.0001472498],"genre_scores_gemma":[0.9987068,0.000002090286,0.001135528,0.00001417928,0.00007925846,0.0000225873,0.000001008932,0.00001616386,0.00002236958],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7452595,"threshold_uncertainty_score":0.4741479,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005754083965360856,"score_gpt":0.2083979092236055,"score_spread":0.2026438252582446,"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."}}