{"id":"W2162563710","doi":"10.1109/bsc.2006.1644636","title":"Time Domain Analysis of UWB Breast Cancer Detection","year":2006,"lang":"en","type":"article","venue":"","topic":"Microwave Imaging and Scattering Analysis","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Oscilloscope; Ultra-wideband; Breast cancer; Computer science; Time domain; Mammography; Noise (video); Electronic engineering; Wideband; Microwave imaging; Cancer; Telecommunications; Artificial intelligence; Medicine; Engineering; Detector; Microwave; Computer vision","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":[0.0002003184,0.0002227022,0.0001907646,0.0005735792,0.00007957551,0.0002796524,0.0001685475,0.0002735036,0.001558274],"category_scores_gemma":[0.001050686,0.00009154113,0.0002043025,0.0003721852,0.0001388936,0.0002131073,0.0001142866,0.0002441751,0.0004643989],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001813719,"about_ca_system_score_gemma":0.000172813,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006702221,"about_ca_topic_score_gemma":0.000383046,"domain_scores_codex":[0.9998447,0.00002246613,0.000005152275,0.00002167398,0.00009139858,0.00001466762],"domain_scores_gemma":[0.9997262,0.0001334878,0.00003190633,0.00002087573,0.00007931415,0.000008104823],"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":[0.0005601658,0.0001183186,0.003666167,0.0002175667,0.00008176308,0.0004563829,0.0001906824,0.1926123,0.4276803,0.01775013,0.001660982,0.3550051],"study_design_scores_gemma":[0.00001095623,0.00009748645,0.006592399,0.00001161549,0.00001751545,0.0005205502,0.00005348836,0.94533,0.0412414,0.00279524,0.003307717,0.00002151821],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2169135,0.0006022585,0.7768742,0.0001924738,0.00006651842,0.00002524793,0.0001614149,0.0005957924,0.004568601],"genre_scores_gemma":[0.8582205,0.0007580838,0.1338532,0.0001026963,0.00005452934,0.00005089512,0.0004222959,0.00008110757,0.006456772],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001558274,"threshold_uncertainty_score":0.005212963,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002106987022871344,"score_gpt":0.1798955356848732,"score_spread":0.1777885486620018,"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."}}