{"id":"W4402449756","doi":"10.1109/jerm.2024.3453994","title":"Enhanced Physics Modelling in Radar-Based Microwave Imaging for Breast Cancer Detection","year":2024,"lang":"en","type":"article","venue":"IEEE Journal of Electromagnetics RF and Microwaves in Medicine and Biology","topic":"Microwave Imaging and Scattering Analysis","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"University of Manitoba; Natural Sciences and Engineering Research Council of Canada; CancerCare Manitoba Foundation","keywords":"Microwave imaging; Breast cancer; Microwave; Radar; Cancer detection; Medical physics; Physics; Remote sensing; Computer science; Medicine; Cancer; Geology; Internal medicine; Telecommunications","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003440237,0.0001697482,0.0003694076,0.0003950872,0.00002905367,0.00002588074,0.00006658709,0.00007007019,0.00000324058],"category_scores_gemma":[0.000008457736,0.0001388326,0.00005538293,0.0002276919,0.000116495,0.00005752723,0.000005986327,0.0003216873,9.906871e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006119928,"about_ca_system_score_gemma":0.00003576005,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005619287,"about_ca_topic_score_gemma":0.00007571714,"domain_scores_codex":[0.9990383,0.00003009405,0.0004340297,0.0001768587,0.00004235146,0.0002783707],"domain_scores_gemma":[0.9996393,0.0001337183,0.00005922296,0.00006154388,0.00005465274,0.00005154501],"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":[0.00003775924,0.000009254193,0.000106374,0.0001743518,0.00003613873,0.000009336643,0.0002927198,0.003699495,0.8957618,0.000008695395,0.00008861346,0.09977548],"study_design_scores_gemma":[0.001647454,0.0004674483,0.0001766688,0.0009990899,0.0001779084,0.0004051447,0.0001486244,0.5068555,0.4858706,0.002393727,0.0005551219,0.0003026584],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6801955,0.02619663,0.2924981,0.000654972,0.0003442951,0.00006341308,0.000008566768,0.00001511787,0.00002340055],"genre_scores_gemma":[0.9908977,0.006746946,0.001788388,0.000117597,0.0004104122,0.000003974187,0.000002586422,0.00002180945,0.00001056693],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5031561,"threshold_uncertainty_score":0.5661429,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01520831532503016,"score_gpt":0.2735557635506314,"score_spread":0.2583474482256012,"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."}}