{"id":"W4393305187","doi":"10.1109/jerm.2024.3379747","title":"Tissue Mimicking Materials for Shell-Based Phantoms in Breast Microwave Sensing","year":2024,"lang":"en","type":"article","venue":"IEEE Journal of Electromagnetics RF and Microwaves in Medicine and Biology","topic":"Wireless Body Area Networks","field":"Engineering","cited_by":3,"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; Breast tissue; Shell (structure); Materials science; Biomedical engineering; Microwave imaging; Medical physics; Medicine; Computer science; Breast cancer; Composite material; Telecommunications; Internal medicine","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":[0.0006236114,0.0001842342,0.000463008,0.0004329356,0.00002048696,0.0000281492,0.00007343527,0.0001680914,0.000006587473],"category_scores_gemma":[0.00002595949,0.0001459632,0.00002543609,0.0001625904,0.0001556095,0.00004849908,0.000009858689,0.0002679533,1.925303e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005188323,"about_ca_system_score_gemma":0.00004122842,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001685057,"about_ca_topic_score_gemma":0.00006513944,"domain_scores_codex":[0.9988555,0.00004822831,0.0005401716,0.0001611036,0.00005091045,0.0003441073],"domain_scores_gemma":[0.9994689,0.0002895142,0.00006238616,0.00006225488,0.00005619007,0.00006074209],"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":[0.00006865455,0.000008481155,0.00007038601,0.0002293306,0.00002759826,0.00009103914,0.0002850187,0.0001066813,0.9543916,0.00004331895,0.0007510776,0.04392679],"study_design_scores_gemma":[0.003054593,0.002425899,0.0004743383,0.002620287,0.0001345841,0.00471617,0.0001807173,0.01686262,0.9618497,0.003427844,0.00381424,0.0004390269],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9678469,0.02411368,0.006096231,0.0008485687,0.0008648372,0.0001393585,0.000009057589,0.00001665678,0.00006468655],"genre_scores_gemma":[0.9927681,0.004098822,0.002224546,0.0001374248,0.0007255846,0.000001224342,0.000007231226,0.00002765641,0.000009379918],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04348776,"threshold_uncertainty_score":0.5952208,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01440430994142697,"score_gpt":0.2760481349355443,"score_spread":0.2616438249941173,"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."}}