{"id":"W2418889628","doi":"10.1109/eucap.2016.7481672","title":"Evaluating the impact of breast model complexity on microwave imaging signals","year":2016,"lang":"en","type":"article","venue":"","topic":"Microwave Imaging and Scattering Analysis","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Microwave imaging; Microwave; Sensitivity (control systems); Breast imaging; Computer science; Ultra-wideband; Singular value decomposition; Magnetic resonance imaging; Medical imaging; Electronic engineering; Acoustics; Mammography; Artificial intelligence; Physics; Engineering; Telecommunications; Radiology; Medicine; Breast 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":[0.001103729,0.0006325093,0.0003980004,0.0005276776,0.0002303936,0.0006503248,0.0003033474,0.0006023837,0.0008631381],"category_scores_gemma":[0.01298199,0.0002584005,0.0004246064,0.0003630634,0.0003957096,0.0007064635,0.0004999919,0.0003921967,0.0001244206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003580023,"about_ca_system_score_gemma":0.0003399917,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001402365,"about_ca_topic_score_gemma":0.001401045,"domain_scores_codex":[0.9993543,0.0001969917,0.00003604354,0.00006306575,0.0002997638,0.00004975152],"domain_scores_gemma":[0.9874675,0.01072108,0.0006251594,0.000606131,0.0004749705,0.0001051797],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009809418,0.0001046994,0.01055476,0.0001607375,0.00007724577,0.0002952087,0.0000998592,0.885129,0.07279391,0.001127919,0.000154269,0.02852132],"study_design_scores_gemma":[0.00001877456,0.0004715328,0.01142248,0.00001450671,0.0000746333,0.0003810594,0.00004625622,0.9422773,0.04408992,0.0006438571,0.0005233457,0.00003624116],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8981082,0.0002614884,0.09917673,0.0001497496,0.00002101343,0.00005454755,0.0002268129,0.0002475054,0.001753974],"genre_scores_gemma":[0.9779806,0.0001430464,0.02126357,0.00002765917,0.000007951747,0.00001949038,0.0001963321,0.00005682947,0.000304533],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001402365,"threshold_uncertainty_score":0.005837142,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06430545672604562,"score_gpt":0.3338418414428226,"score_spread":0.269536384716777,"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."}}