{"id":"W1571163053","doi":"10.1109/iembs.2003.1280985","title":"Preliminary investigations of tissue sensing adaptive radar for breast tumor detection","year":2004,"lang":"en","type":"article","venue":"","topic":"Microwave Imaging and Scattering Analysis","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Radar; Breast tumor; Radar detection; Computer science; Breast tissue; Radar imaging; Breast cancer; Medicine; Internal medicine; Telecommunications; Cancer","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":[0.0007461702,0.0003076474,0.0002707506,0.0001424913,0.0001887611,0.0002303577,0.0002754913,0.0003581783,0.002447293],"category_scores_gemma":[0.001697402,0.0001347849,0.0002395783,0.0001576529,0.000290478,0.0003624491,0.0001419702,0.0002003574,0.0003985847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001358344,"about_ca_system_score_gemma":0.000125193,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004134954,"about_ca_topic_score_gemma":0.0004709837,"domain_scores_codex":[0.9997426,0.00007561666,0.00001028872,0.00002692495,0.0001185672,0.00002602093],"domain_scores_gemma":[0.999145,0.0005543345,0.00003778327,0.00006473853,0.0001656192,0.00003248395],"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":[0.0003861719,0.0001806422,0.002572222,0.0002655954,0.00003033127,0.0004012487,0.0002513986,0.03442273,0.9206165,0.003091277,0.0003344458,0.03744746],"study_design_scores_gemma":[0.00004334778,0.003430257,0.004042075,0.00002162371,0.00005822443,0.0007756098,0.0001662261,0.1965135,0.7862051,0.001183517,0.007527705,0.00003288658],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7020008,0.001341803,0.2834565,0.0003737281,0.00005112665,0.000212181,0.0001274333,0.0006023247,0.01183406],"genre_scores_gemma":[0.9339979,0.0009759573,0.06106529,0.00006463988,0.00001972349,0.00007667791,0.0001667723,0.00003179847,0.003601195],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002447293,"threshold_uncertainty_score":0.008187056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009718838587910339,"score_gpt":0.2061621196478809,"score_spread":0.1964432810599706,"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."}}