{"id":"W4247100790","doi":"10.1109/iembs.2006.4397963","title":"3D Breast Microwave Imaging Based on Wavefront Reconstruction","year":2006,"lang":"en","type":"article","venue":"Conference proceedings","topic":"Microwave Imaging and Scattering Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Breast cancer; Microwave imaging; Microwave; Wavefront; Iterative reconstruction; Computer science; Range (aeronautics); Cancer; Computer vision; Medicine; Optics; Internal medicine; Telecommunications; Materials science; Physics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000373698,0.0004844513,0.0004444143,0.0005316297,0.0001293015,0.0006736504,0.0004239264,0.0006329384,0.001500818],"category_scores_gemma":[0.001045805,0.0004844897,0.0007252628,0.0004556787,0.000306738,0.0006148079,0.0006271202,0.0006119309,0.0007081443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002568146,"about_ca_system_score_gemma":0.0004505367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001686394,"about_ca_topic_score_gemma":0.001972505,"domain_scores_codex":[0.9997684,0.00005225744,0.000008058112,0.00002452464,0.0001298261,0.00001692608],"domain_scores_gemma":[0.9996834,0.000154243,0.00003839601,0.00005776824,0.00005328217,0.00001295298],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003973636,0.00009237714,0.001724196,0.0002046812,0.0001017105,0.0002801339,0.0002671197,0.4997429,0.1974117,0.0129644,0.002453482,0.28436],"study_design_scores_gemma":[0.000009469682,0.00002130207,0.0003603013,0.000006742494,0.000007128274,0.0001657445,0.00001071352,0.9808641,0.0159231,0.001165155,0.001447781,0.00001845606],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01548662,0.0001173574,0.9826012,0.00008427185,0.0000123883,0.00002753901,0.00007884781,0.0007022584,0.0008894593],"genre_scores_gemma":[0.1942912,0.000472295,0.8030314,0.00006880137,0.00002116039,0.00006967494,0.000325237,0.0001541424,0.001566104],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001686394,"threshold_uncertainty_score":0.005020738,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005145005185677015,"score_gpt":0.1753838301637481,"score_spread":0.1702388249780711,"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."}}