{"id":"W2481808791","doi":"10.1118/1.4953636","title":"Experimental feasibility of multistatic holography for breast microwave radar image reconstruction","year":2016,"lang":"en","type":"article","venue":"Medical Physics","topic":"Microwave Imaging and Scattering Analysis","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"CancerCare Manitoba; Forming Technologies (Canada); Queen's University; University of Manitoba","funders":"","keywords":"Clutter; Microwave imaging; Multistatic radar; Radar; Image resolution; Radar imaging; Computer science; Microwave; Iterative reconstruction; Bistatic radar; Remote sensing; Artificial intelligence; Geology; Telecommunications","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001490677,0.0001134109,0.0002132231,0.00003629242,0.00002829554,0.000007390197,0.0001062508,0.00004902702,0.00007644555],"category_scores_gemma":[0.00003514904,0.00008546196,0.0001613033,0.00009974858,0.0002519401,0.00007203212,0.00001613014,0.0000659325,0.000008022198],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004332991,"about_ca_system_score_gemma":0.00001322632,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009300884,"about_ca_topic_score_gemma":0.000001331324,"domain_scores_codex":[0.9992526,0.00002070875,0.0002303785,0.0001682094,0.0001529239,0.0001752438],"domain_scores_gemma":[0.9995456,0.00008589046,0.00003943576,0.0001983181,0.00003792703,0.00009279126],"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":[0.00001209484,0.00006150706,0.001071273,0.00007991026,0.00006267992,0.000001327091,0.00009124593,0.000001970404,0.8318485,0.00001472357,0.000743256,0.1660115],"study_design_scores_gemma":[0.001170993,0.00003754319,0.001502008,0.0001501943,0.0000449462,0.00004580899,0.00005126716,0.002176031,0.993255,0.001300088,0.00005434134,0.0002117394],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5778157,0.00006032598,0.4214782,0.0001206273,0.0001665135,0.00007977906,0.00008850268,0.00008206721,0.000108339],"genre_scores_gemma":[0.9933124,0.000009582173,0.006502098,0.0000194223,0.0001058746,0.00001077715,0.00000804987,0.00001894778,0.00001284306],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4154967,"threshold_uncertainty_score":0.3485038,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01269525458154821,"score_gpt":0.2542507956615135,"score_spread":0.2415555410799653,"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."}}