{"id":"W3104254684","doi":"10.1109/ius46767.2020.9251754","title":"Breast Tissue Mimicking Phantoms for Combined Microwave and Ultrasound Imaging","year":2020,"lang":"en","type":"article","venue":"","topic":"Microwave Imaging and Scattering Analysis","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Imaging phantom; Materials science; Attenuation; Ultrasound; Microwave; Relative permittivity; Biomedical engineering; Permittivity; Nuclear magnetic resonance; Nuclear medicine; Dielectric; Optics; Medicine; Acoustics; Physics; 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":[0.00007343191,0.0001698285,0.0002091998,0.00005438898,0.0000729545,0.0001341245,0.000100871,0.00002572931,0.00005454478],"category_scores_gemma":[0.00001444478,0.000171596,0.00005656865,0.0001229256,0.00003599265,0.00009980203,0.00002273627,0.00008431547,0.00001960935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001840075,"about_ca_system_score_gemma":0.000004304933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002152055,"about_ca_topic_score_gemma":0.000004864969,"domain_scores_codex":[0.9992563,0.000008959586,0.0001808976,0.0002300487,0.00006116121,0.0002626669],"domain_scores_gemma":[0.9996318,0.0000757526,0.00001921001,0.0001170986,0.00002745474,0.0001286376],"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":[0.000007693626,0.000005690079,0.001746552,0.0001385225,0.00008018668,0.000004571601,0.0006104265,0.0003740843,0.9699863,0.00003825606,0.006628563,0.02037911],"study_design_scores_gemma":[0.001809083,0.00004534839,0.001563603,0.00008857327,0.0002394408,0.0004787953,0.0007319112,0.3491358,0.6350604,0.0002711757,0.009522798,0.001053134],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4557907,0.0009490013,0.5346258,0.003880712,0.0002048357,0.0002904606,0.00006880062,0.001158248,0.003031417],"genre_scores_gemma":[0.9944379,0.00003108526,0.004779668,0.0004581066,0.0001125029,0.000007701861,0.00002503078,0.00004448807,0.0001034609],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5386472,"threshold_uncertainty_score":0.6997481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007819992672810638,"score_gpt":0.2072523414505934,"score_spread":0.1994323487777828,"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."}}