{"id":"W4247100790","doi":"10.1109/iembs.2006.4397963","title":"3D Breast Microwave Imaging Based on Wavefront Reconstruction","year":2006,"lang":"en","type":"article","venue":"Conference proceedings","topic":"Microwave Imaging and Scattering Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Breast cancer; Microwave imaging; Microwave; Wavefront; Iterative reconstruction; Computer science; Range (aeronautics); Cancer; Computer vision; Medicine; Optics; Internal medicine; Telecommunications; Materials science; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001273721,0.0002423274,0.0002107055,0.0002323172,0.00009803853,0.0002337984,0.0001591901,0.0000554103,0.0001068478],"category_scores_gemma":[0.00000889461,0.0002507596,0.00008264472,0.0001990238,0.00007410399,0.0001835667,0.0000165076,0.0002194897,0.00009793758],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001177623,"about_ca_system_score_gemma":0.00002111099,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006392308,"about_ca_topic_score_gemma":0.000006189336,"domain_scores_codex":[0.9989163,0.000004543637,0.0002537963,0.0003185157,0.000153402,0.0003534217],"domain_scores_gemma":[0.9995897,0.00001264407,0.00005265849,0.0001319955,0.0001429651,0.00007002588],"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":[0.000027391,0.00006374084,0.04907126,0.0002597852,0.00004945609,0.00001173196,0.000328833,0.003338471,0.7141686,0.0005546246,0.01418524,0.2179409],"study_design_scores_gemma":[0.0003777461,0.00001290436,0.007647113,0.0002755582,0.00005190195,0.0001815008,0.0001605564,0.9489657,0.03977539,0.0006203727,0.001410047,0.0005211503],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7373809,0.0002158074,0.1023404,0.001493994,0.0007134167,0.0002585448,0.00003769631,0.001952608,0.1556066],"genre_scores_gemma":[0.99528,0.000005599963,0.004132922,0.0000937303,0.0001738203,0.00001536121,0.00001510723,0.00003881585,0.0002446099],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9456273,"threshold_uncertainty_score":0.9999945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005145005185677015,"score_gpt":0.1753838301637481,"score_spread":0.1702388249780711,"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."}}