{"id":"W2115357526","doi":"10.2528/pier14080606","title":"BREAST IMAGING USING MICROWAVE TOMOGRAPHY WITH RADAR-BASED TISSUE-REGIONS ESTIMATION","year":2014,"lang":"en","type":"article","venue":"Electromagnetic waves","topic":"Microwave Imaging and Scattering Analysis","field":"Engineering","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; University of Manitoba","funders":"","keywords":"Tomography; Microwave imaging; Microwave; Radar; Radar imaging; Remote sensing; Geology; Computer science; Radiology; Medicine; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001374841,0.0002902062,0.0002630936,0.0003445698,0.0001526923,0.0001404028,0.0001641848,0.00004186076,0.00004217736],"category_scores_gemma":[0.000007342468,0.0002777553,0.00008805052,0.0005292229,0.0001063056,0.0001106922,0.00001199785,0.0001822599,0.00001775657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000589422,"about_ca_system_score_gemma":0.00002512836,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007282213,"about_ca_topic_score_gemma":0.00001884746,"domain_scores_codex":[0.9987101,0.00005751128,0.0002353853,0.0003036907,0.0001908407,0.0005024493],"domain_scores_gemma":[0.9993479,0.00005287759,0.00005151976,0.000386375,0.00004786279,0.0001134313],"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":[0.00001060471,0.00002917551,0.0004476972,0.00008127453,0.00006794795,0.000009978043,0.0001069474,0.02319088,0.9451188,0.00006619754,0.0006577324,0.03021272],"study_design_scores_gemma":[0.0005437868,0.0001219556,0.001759477,0.0001351665,0.0002152563,0.0005442362,0.00002336785,0.8686569,0.1265722,0.0003767404,0.0004836238,0.0005673452],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5113125,0.0005732754,0.4855758,0.0004112656,0.00007634457,0.000125769,0.000006667806,0.0005678139,0.001350615],"genre_scores_gemma":[0.9289713,0.000004395875,0.07069402,0.00007231323,0.00007960199,0.000007389922,0.00003220795,0.00006844781,0.00007030017],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.845466,"threshold_uncertainty_score":0.9999675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00349015199603919,"score_gpt":0.1888208196545458,"score_spread":0.1853306676585066,"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."}}