{"id":"W2295386699","doi":"10.1109/embc.2015.7320019","title":"Breast tumor detection using UWB circular-SAR tomographic microwave imaging","year":2015,"lang":"en","type":"article","venue":"","topic":"Microwave Imaging and Scattering Analysis","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Microwave imaging; Synthetic aperture radar; Imaging phantom; Back projection; Radar imaging; Tomographic reconstruction; Computer science; Projection (relational algebra); Radar; Iterative reconstruction; Computer vision; Ultra-wideband; Microwave; Artificial intelligence; Physics; Optics; 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":[],"consensus_categories":[],"category_scores_codex":[0.0002529939,0.0002152745,0.0002119205,0.0003333788,0.00007815396,0.0001327946,0.0001358339,0.00003361234,0.0000288743],"category_scores_gemma":[0.000008515478,0.0002242753,0.0001489939,0.0005015762,0.00004400741,0.000190451,0.00003361006,0.0001745126,0.00006984183],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001395711,"about_ca_system_score_gemma":0.00001786258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004219147,"about_ca_topic_score_gemma":0.00003445025,"domain_scores_codex":[0.9989307,0.00003208205,0.00024406,0.0002545532,0.000171441,0.000367144],"domain_scores_gemma":[0.9993801,0.00001015509,0.00003217461,0.0003166496,0.00008182014,0.0001791028],"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":[0.000006326765,0.00002428567,0.01646039,0.00007574707,0.0001674076,0.00006845508,0.0002998082,0.02536284,0.9387029,0.000007156525,0.0006526178,0.01817208],"study_design_scores_gemma":[0.00043359,0.000006603849,0.001407026,0.00005273178,0.0001400009,0.002553988,0.0004229732,0.8857648,0.1075942,0.0001901692,0.000844277,0.0005896469],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.778553,0.0004728803,0.2180529,0.00005604359,0.0003299142,0.00005480312,0.000004486654,0.0006666562,0.001809279],"genre_scores_gemma":[0.9965127,0.000004411495,0.003156549,0.00007816045,0.0001399695,0.00000209085,0.000005415908,0.00005621422,0.00004456299],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.860402,"threshold_uncertainty_score":0.9145681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01237016699257142,"score_gpt":0.2055096352091152,"score_spread":0.1931394682165437,"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."}}