{"id":"W2903731022","doi":"10.1109/antem.2018.8573034","title":"Supporting Advanced Breast Imaging Research Through Reconfigurable Numerical Breast Models","year":2018,"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 Calgary","funders":"","keywords":"Context (archaeology); Microwave imaging; Computer science; Breast imaging; Magnetic resonance imaging; Medical imaging; Mammography; Medical physics; Artificial intelligence; Microwave; Breast cancer; Medicine; Radiology; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007156628,0.0002244341,0.0002861938,0.0001784139,0.0003034943,0.0001809086,0.0003228147,0.00005083211,0.001223621],"category_scores_gemma":[0.00002040066,0.000215922,0.0001111901,0.0006430481,0.0001606291,0.0006055699,0.00005667131,0.0003992799,0.0005859208],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001231492,"about_ca_system_score_gemma":0.00002939224,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004600036,"about_ca_topic_score_gemma":0.00001518887,"domain_scores_codex":[0.9977508,0.00007021727,0.0004082686,0.0004388261,0.0003323024,0.0009996301],"domain_scores_gemma":[0.9989587,0.00007204094,0.00003577183,0.0005241048,0.0002593948,0.0001500029],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008851905,0.0001717037,0.004542924,0.0002922045,0.000452107,0.0001106109,0.005172832,0.074983,0.2744187,0.001786648,0.1418567,0.496124],"study_design_scores_gemma":[0.0003306571,0.00001785358,0.0002314293,0.0001058309,0.00002455768,0.0006466268,0.0009428971,0.9694887,0.01747846,0.00313208,0.007078308,0.000522578],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0765679,0.0004198768,0.4073146,0.002787265,0.0005304649,0.0002368856,0.00005337939,0.002098898,0.5099908],"genre_scores_gemma":[0.9906752,0.00002338786,0.006895104,0.0001329725,0.0002780682,0.00001457545,0.00001375128,0.00007343685,0.001893474],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9141073,"threshold_uncertainty_score":0.9996894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02771205443477531,"score_gpt":0.3197684173982561,"score_spread":0.2920563629634808,"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."}}