{"id":"W3008193177","doi":"10.23919/ursigass49373.2020.9232432","title":"On Microwave Breast Imaging with Ultrasound Spatial Priors","year":2020,"lang":"en","type":"article","venue":"","topic":"Microwave Imaging and Scattering Analysis","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Prior probability; Microwave imaging; Ultrasound; Computer science; Microwave; Breast ultrasound; Artificial intelligence; Computer vision; Ultrasound imaging; Mammography; Acoustics; Bayesian probability; Physics; Medicine; Telecommunications; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003765016,0.0001759238,0.0001601714,0.00005455862,0.00004484578,0.00008728994,0.0001173853,0.00001923744,0.0002364619],"category_scores_gemma":[0.000008572066,0.0001447422,0.0000581869,0.0001651133,0.000032393,0.00005921332,0.00001222511,0.0001592053,0.0002231282],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003062663,"about_ca_system_score_gemma":0.00000860777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000898286,"about_ca_topic_score_gemma":0.00002440488,"domain_scores_codex":[0.9992803,0.00001112929,0.0001308678,0.0002185953,0.0001240589,0.0002350465],"domain_scores_gemma":[0.9996285,0.00003671824,0.00001558328,0.0001700953,0.00001900826,0.0001300639],"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":[0.00005918387,0.0000331669,0.01061434,0.0001105134,0.0002823963,0.00009343772,0.001551352,0.03740032,0.9005017,0.0001395266,0.02308686,0.02612714],"study_design_scores_gemma":[0.003129616,0.0002307731,0.01648386,0.0003178098,0.0004409632,0.001342594,0.00130727,0.4047598,0.5597262,0.0002100572,0.008840886,0.00321015],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6787199,0.00007888136,0.2848019,0.00266116,0.0001094563,0.000109033,0.00001835045,0.001268427,0.03223283],"genre_scores_gemma":[0.9974355,0.000005003602,0.001457091,0.0008463662,0.0001021393,0.000002357091,0.00001133251,0.00004329577,0.00009689253],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3673595,"threshold_uncertainty_score":0.5902417,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004005035238671567,"score_gpt":0.1692928778770308,"score_spread":0.1652878426383592,"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."}}