{"id":"W4403212673","doi":"10.1109/iceaa61917.2024.10701698","title":"A Study of Resonance Modes for Microwave Imaging in Biomedical Applications","year":2024,"lang":"en","type":"article","venue":"","topic":"Microwave Imaging and Scattering Analysis","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Microwave; Microwave imaging; Resonance (particle physics); Materials science; Magnetic resonance imaging; Nuclear magnetic resonance; Computer science; Physics; Medicine; Atomic physics; Radiology; Telecommunications","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002867092,0.0002199093,0.0001920956,0.0001214665,0.0001370102,0.0003205775,0.0002110464,0.0003184516,0.001397534],"category_scores_gemma":[0.0009340317,0.0001864393,0.000225086,0.0001216522,0.0003335639,0.0003080713,0.0002150439,0.0001988636,0.0002464461],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001376318,"about_ca_system_score_gemma":0.0002440945,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005702436,"about_ca_topic_score_gemma":0.0004286661,"domain_scores_codex":[0.9998993,0.00003430666,0.000002372921,0.00001476284,0.00003926715,0.00001009637],"domain_scores_gemma":[0.9997749,0.0001453138,0.00001913897,0.00002905988,0.00002238345,0.000009153417],"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":[0.00009223747,0.00007714914,0.001048098,0.0001653671,0.00001885074,0.0002278915,0.0001600686,0.4696939,0.4837056,0.0258248,0.0003049732,0.01868098],"study_design_scores_gemma":[0.000006495828,0.00009345044,0.0008313693,0.00000886875,0.000006757131,0.0001674521,0.00002794315,0.9711289,0.02405916,0.00208066,0.00158038,0.000008562628],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3314454,0.000639213,0.6545516,0.0001750587,0.00002727008,0.00006984349,0.00005063324,0.0002445939,0.01279637],"genre_scores_gemma":[0.8622267,0.0005342577,0.1338335,0.00003576924,0.00001308934,0.00006287889,0.00004322939,0.00004233426,0.003208249],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001397534,"threshold_uncertainty_score":0.00467515,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01077094160138423,"score_gpt":0.2613361118119997,"score_spread":0.2505651702106155,"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."}}