{"id":"W2127634828","doi":"10.1109/tbme.2008.2011914","title":"An Improved Technique to Predict the Time-of-Arrival of a Tumor Response in Radar-Based Breast Imaging","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Biomedical Engineering","topic":"Microwave Imaging and Scattering Analysis","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Robustness (evolution); Radar; Radar imaging; Computer science; Microwave imaging; Breast tumor; Breast cancer; Microwave; Telecommunications; Cancer; Medicine","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":[0.000566409,0.0002027914,0.0002908638,0.0006870122,0.00003164871,0.00001571128,0.0002863213,0.00005745326,0.00002647142],"category_scores_gemma":[0.00001574318,0.0001763362,0.0001244497,0.0008590186,0.000058014,0.00008181377,0.000001023596,0.0003266328,0.000003392309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009122951,"about_ca_system_score_gemma":0.00004019085,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003419234,"about_ca_topic_score_gemma":0.000001217132,"domain_scores_codex":[0.9988099,0.00005063725,0.0004269473,0.0002037816,0.0002153823,0.0002933803],"domain_scores_gemma":[0.9992563,0.000125789,0.00002997001,0.0003981655,0.0000281569,0.0001616298],"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":[0.0001070869,0.00008045323,0.000003169066,0.00002773532,0.00001658739,0.000006932084,0.0001043052,0.2677881,0.7251019,3.205351e-7,0.00001452296,0.006748977],"study_design_scores_gemma":[0.0003050544,0.0001505151,0.0005023222,0.000188701,0.00002451409,0.00003352206,0.00001918563,0.7340535,0.264506,0.000002215543,0.00005584966,0.0001585766],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1583938,0.00001869114,0.8405529,0.0004445997,0.00009594175,0.0001773139,0.00006099456,0.0002495456,0.000006162154],"genre_scores_gemma":[0.9925899,0.000002074155,0.007245213,0.00006651835,0.00002400058,0.00003277051,0.000002993106,0.00003241066,0.000004110373],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8341961,"threshold_uncertainty_score":0.7190782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002760378342483663,"score_gpt":0.2016695186178419,"score_spread":0.1989091402753582,"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."}}