{"id":"W2144270149","doi":"10.1109/tmtt.2005.857330","title":"Tissue Sensing Adaptive Radar for Breast Cancer Detection—Experimental Investigation of Simple Tumor Models","year":2005,"lang":"en","type":"article","venue":"IEEE Transactions on Microwave Theory and Techniques","topic":"Microwave Imaging and Scattering Analysis","field":"Engineering","cited_by":281,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; University of Victoria","funders":"","keywords":"Clutter; Radar; Breast cancer; Breast tumor; Microwave; Computer science; Antenna (radio); Microwave imaging; Biomedical engineering; Electronic engineering; Cancer; Engineering; Medicine; Telecommunications; Internal medicine","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":[0.0002145882,0.0001741847,0.0001997369,0.0001791517,0.0001342909,0.00002082194,0.00005248708,0.00005960571,0.00001740257],"category_scores_gemma":[7.050037e-7,0.0001823606,0.0000804185,0.0001163414,0.0001094044,0.0001702861,0.000001047896,0.0001264961,9.366842e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008715681,"about_ca_system_score_gemma":0.00001081847,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005658476,"about_ca_topic_score_gemma":0.00004540608,"domain_scores_codex":[0.9993196,0.00005520856,0.0002188784,0.0001865634,0.00006141212,0.0001583494],"domain_scores_gemma":[0.9996462,0.00007114739,0.00004458303,0.0001365034,0.00004964575,0.00005193895],"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":[0.00007577553,0.00001402159,2.328875e-7,0.00002967807,0.00006366329,3.353549e-7,0.0003971106,0.004923574,0.8580475,0.00007545911,0.00002828134,0.1363444],"study_design_scores_gemma":[0.0001466548,0.00005724866,0.000001359446,0.00006600613,0.00007562013,0.00004292608,0.0001481682,0.01037946,0.9864986,0.002324285,0.00007376882,0.0001858863],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2757811,0.0001696937,0.723385,0.00002944911,0.00003506917,0.0001582526,0.0001323459,0.0002470984,0.00006196483],"genre_scores_gemma":[0.9832122,0.00005143364,0.016494,0.00007133351,0.00004930249,0.00003853975,0.000002451951,0.00003845469,0.00004230532],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.707431,"threshold_uncertainty_score":0.7436448,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01144791602666074,"score_gpt":0.2402469513906466,"score_spread":0.2287990353639859,"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."}}