{"id":"W2316792266","doi":"10.7785/tcrt.2012.500307","title":"Time-Domain Microwave Breast Cancer Detection: Extensive System Testing with Phantoms","year":2012,"lang":"en","type":"article","venue":"Technology in Cancer Research & Treatment","topic":"Microwave Imaging and Scattering Analysis","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds Québécois de la Recherche sur la Nature et les Technologies; Polytechnique Montréal","keywords":"Breast cancer; Microwave imaging; Mammography; Breast tissue; Magnetic resonance imaging; Breast MRI; Medicine; Ultrasound; Breast imaging; Microwave; Cancer; Biomedical engineering; Radiology; Computer science; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0024613,0.0007120374,0.0007359501,0.0006941546,0.0003118243,0.0005161864,0.001097367,0.001156405,0.001305979],"category_scores_gemma":[0.006304349,0.0002733696,0.0003823291,0.0008464992,0.0004971727,0.0007966984,0.0007885762,0.0003380953,0.0004201517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005787208,"about_ca_system_score_gemma":0.0002727573,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001174887,"about_ca_topic_score_gemma":0.0006733785,"domain_scores_codex":[0.9985195,0.0005514813,0.0001109273,0.0002521581,0.0004251138,0.0001408605],"domain_scores_gemma":[0.9949941,0.002649578,0.0003551547,0.0006189664,0.001254892,0.0001273725],"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":[0.002149055,0.001559855,0.006830519,0.000968836,0.0002677521,0.0005882564,0.001256564,0.03943881,0.8769076,0.0007592856,0.001288015,0.06798548],"study_design_scores_gemma":[0.0002499769,0.01249637,0.01147596,0.00006852606,0.0003074217,0.001188142,0.0004882063,0.1144531,0.8511787,0.0003878965,0.007587749,0.0001178568],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9065106,0.001097027,0.08915304,0.0002815735,0.00009252902,0.0004059414,0.0002684726,0.001163256,0.00102763],"genre_scores_gemma":[0.9357485,0.0007164641,0.06022826,0.0002166226,0.00003971075,0.0003620344,0.0005039147,0.0001299267,0.002054617],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0024613,"threshold_uncertainty_score":0.01301676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03161235401658265,"score_gpt":0.3113888334236593,"score_spread":0.2797764794070766,"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."}}