{"id":"W2057765561","doi":"10.1109/aps.2013.6710930","title":"Investigation of tumour detection using contrast agents and FEM-CSI in biomedical microwave tomography","year":2013,"lang":"en","type":"article","venue":"","topic":"Microwave Imaging and Scattering Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Imaging phantom; Contrast (vision); Finite element method; Homogeneity (statistics); Permittivity; Computer science; Microwave imaging; Tomography; Contrast enhancement; Biomedical engineering; Microwave; Materials science; Artificial intelligence; Physics; Optics; Radiology; Dielectric; Magnetic resonance imaging; Engineering; Medicine; Optoelectronics; Telecommunications","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":[0.0008507181,0.0002728296,0.0002761695,0.0003946482,0.0001258735,0.0004346997,0.0003480591,0.0006406252,0.000422427],"category_scores_gemma":[0.004413684,0.000266842,0.0001592241,0.0004537704,0.0004838315,0.0005560044,0.0002964233,0.0002702304,0.0001363199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003040327,"about_ca_system_score_gemma":0.0004519456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001236912,"about_ca_topic_score_gemma":0.001329376,"domain_scores_codex":[0.9996608,0.0001627778,0.0000103762,0.00003089668,0.0001104349,0.00002464572],"domain_scores_gemma":[0.9978932,0.001759531,0.00009292519,0.00005752966,0.0001521862,0.00004472802],"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":[0.001303314,0.0002254788,0.006473282,0.0005405824,0.00005369731,0.000778527,0.0004037559,0.07807628,0.8169807,0.00652362,0.0002450585,0.08839584],"study_design_scores_gemma":[0.00003544375,0.0006417101,0.005323979,0.00004323894,0.00006388406,0.001399179,0.000123764,0.5459169,0.4430124,0.000826686,0.002572423,0.0000405009],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.698984,0.003879172,0.2912468,0.0002986208,0.00002948598,0.00009503849,0.00005128815,0.0002693365,0.005146336],"genre_scores_gemma":[0.8924128,0.001304286,0.1047766,0.00003883351,0.00001340175,0.00002535979,0.00004023731,0.00003824152,0.001350229],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001236912,"threshold_uncertainty_score":0.004499078,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01278857555794726,"score_gpt":0.2027733193822091,"score_spread":0.1899847438242618,"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."}}