{"id":"W1510124604","doi":"","title":"Spectral response of a multi-layered sphere applied in microwave breast imaging","year":2010,"lang":"en","type":"article","venue":"European Conference on Antennas and Propagation","topic":"Microwave Imaging and Scattering Analysis","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Microwave imaging; Breast tissue; Breast cancer; Microwave; Adipose tissue; Attenuation; Contrast (vision); Biomedical engineering; Materials science; Medicine; Cancer; Computer science; Optics; Physics; Internal medicine; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004542065,0.000144167,0.0001601,0.0001359919,0.00003247273,0.00006439436,0.00009785565,0.000021805,0.00003289349],"category_scores_gemma":[0.00001942959,0.0001366794,0.00003162667,0.0001288025,0.00006914375,0.00005650421,0.00002005548,0.0002541485,0.00002772647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001150409,"about_ca_system_score_gemma":0.00001413882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001796313,"about_ca_topic_score_gemma":0.00005114849,"domain_scores_codex":[0.999228,0.00008613979,0.0002374929,0.0002029616,0.00007486346,0.0001705485],"domain_scores_gemma":[0.9996532,0.00002083361,0.00005075595,0.0001838672,0.00003938408,0.00005198611],"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":[0.00009536291,0.00002322912,0.001897022,0.00002921819,0.000008378143,0.00001524891,0.0004576824,0.00009286939,0.9666752,0.0001806331,0.0000197381,0.03050538],"study_design_scores_gemma":[0.002306951,0.00007060252,0.3114533,0.0004225699,0.00003454468,0.0001652109,0.0009826416,0.4876776,0.1957464,0.0001426071,0.0002025722,0.0007949918],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9874274,0.00003543798,0.007135225,0.0002397161,0.00007458851,0.00009864444,0.00001016238,0.00008686928,0.004891961],"genre_scores_gemma":[0.9985178,0.00002402021,0.001274742,0.00003034653,0.0000286784,0.000002005919,0.000008359007,0.00002731528,0.00008678852],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7709288,"threshold_uncertainty_score":0.5573624,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01297192504348383,"score_gpt":0.2151530387270795,"score_spread":0.2021811136835956,"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."}}