{"id":"W2592191139","doi":"","title":"Microwave tomography for breast cancer detection: Study of dispersion and heterogeneity effects","year":2006,"lang":"en","type":"article","venue":"International Symposium on Antenna Technology and Applied Electromagnetics","topic":"Microwave Imaging and Scattering Analysis","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Microwave imaging; Mammography; Breast cancer; Dispersion (optics); Inverse scattering problem; Inverse problem; Medical imaging; Iterative reconstruction; Dielectric; Microwave; Scattering; Computer science; Materials science; Acoustics; Optics; Cancer; Physics; Mathematics; Computer vision; Artificial intelligence; Medicine; Mathematical analysis; Telecommunications; Optoelectronics","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":[0.00004259877,0.0001494412,0.0001771253,0.0003011799,0.00006797146,0.00002081443,0.000102059,0.00009410398,0.000001843068],"category_scores_gemma":[0.000001493015,0.0001472535,0.00003740441,0.0002139287,0.00008704073,0.0000176991,0.00002694187,0.0001221517,4.299554e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002408594,"about_ca_system_score_gemma":0.000001883648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002396276,"about_ca_topic_score_gemma":0.00009049464,"domain_scores_codex":[0.9993514,0.000005985702,0.0001727217,0.0002276232,0.00007839454,0.0001639135],"domain_scores_gemma":[0.9997557,0.00002753125,0.00004222436,0.0001110194,0.00004177786,0.0000217385],"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":[0.00005274513,0.0001193772,0.0061335,0.00004169988,0.0001255269,0.000001210775,0.00002345455,0.0001476243,0.9813159,0.0003719695,0.00002499681,0.01164197],"study_design_scores_gemma":[0.001695785,0.0007964041,0.04163384,0.00005277639,0.0001743568,0.00008298019,0.00007541024,0.01319634,0.9408277,0.0009677139,0.0001555878,0.00034114],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955489,0.0003228231,0.003196215,0.0003401256,0.00008776575,0.000215712,0.000022983,0.0001357853,0.0001296788],"genre_scores_gemma":[0.9994534,0.0001494603,0.0002148419,0.00002484332,0.00004405387,0.00007301749,0.000004810458,0.00001770307,0.00001786337],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04048827,"threshold_uncertainty_score":0.6004822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002399183098735015,"score_gpt":0.1965770566079255,"score_spread":0.1941778735091905,"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."}}