{"id":"W4394744459","doi":"10.1109/jerm.2024.3385335","title":"Surface Wave and Back Radiation Suppression in Microwave Breast Screening","year":2024,"lang":"en","type":"article","venue":"IEEE Journal of Electromagnetics RF and Microwaves in Medicine and Biology","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Microwave; Radiation; Surface wave; Physics; Acoustics; Optics; Medical physics; Medicine; Telecommunications; Computer science","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":[0.0003074217,0.0002676765,0.0002541794,0.0001640991,0.00008349222,0.000399432,0.000244501,0.0004271743,0.0008124603],"category_scores_gemma":[0.000813083,0.000207742,0.0001952077,0.0002499569,0.0003428127,0.00030782,0.0003318505,0.0001914903,0.000481423],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001657781,"about_ca_system_score_gemma":0.0001349868,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001663332,"about_ca_topic_score_gemma":0.0002248942,"domain_scores_codex":[0.9997808,0.0001011782,0.000005647255,0.00002413869,0.0000666867,0.00002149488],"domain_scores_gemma":[0.9996505,0.0002023976,0.00005731209,0.00003873606,0.00004072634,0.00001031338],"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":[0.0002719423,0.00004130098,0.002562649,0.0003215648,0.0000206129,0.0002711092,0.0001871018,0.02954715,0.8550364,0.004157704,0.0006553062,0.1069273],"study_design_scores_gemma":[0.00004111157,0.0007666041,0.004321892,0.00007276994,0.00007085992,0.001724945,0.000152451,0.1971984,0.7801093,0.002389845,0.01310508,0.00004672223],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.418524,0.003594725,0.5642928,0.0004525202,0.00006464788,0.00003714002,0.00006058309,0.0008662578,0.01210717],"genre_scores_gemma":[0.9024541,0.001138797,0.09362217,0.0001420934,0.00003056392,0.00002994876,0.00003628642,0.00007466224,0.002471362],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0008124603,"threshold_uncertainty_score":0.002717972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02459539679538027,"score_gpt":0.3037688712591292,"score_spread":0.2791734744637489,"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."}}