{"id":"W1696139331","doi":"","title":"Systems for ultra-wideband microwave sensing and imaging of biological tissues","year":2013,"lang":"en","type":"article","venue":"European Conference on Antennas and Propagation","topic":"Microwave Imaging and Scattering Analysis","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Wideband; Microwave imaging; Computer science; Ultra-wideband; Microwave; Electronic engineering; Interrogation; Telecommunications; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001908386,0.0001109705,0.0001550448,0.00006351306,0.00005261449,0.0001320721,0.00003653386,0.00001626034,0.000005144929],"category_scores_gemma":[0.00002617799,0.00008841862,0.00002205258,0.0000396781,0.00006563817,0.00006409999,0.00000863516,0.00005653809,0.00000750937],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005526519,"about_ca_system_score_gemma":0.00000268153,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004394453,"about_ca_topic_score_gemma":0.000001235869,"domain_scores_codex":[0.9994307,0.00005958696,0.0001852705,0.0001598631,0.00004151383,0.0001231269],"domain_scores_gemma":[0.9997053,0.00003932841,0.00004532879,0.00008561405,0.00008202552,0.00004242748],"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":[0.000005508766,0.000004838744,0.001119253,0.0001338401,0.00002081571,0.000002163617,0.0003578137,0.00004799424,0.9315082,0.00022121,0.0002841775,0.06629415],"study_design_scores_gemma":[0.0009612319,0.0002431416,0.01315539,0.001200815,0.00007672147,0.0001163383,0.00165344,0.8465316,0.1329609,0.0005712513,0.001745446,0.0007836707],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8097025,0.001426236,0.1829994,0.0003062574,0.0001069836,0.0003248592,0.00001109282,0.0001328276,0.004989929],"genre_scores_gemma":[0.9989271,0.0004564981,0.0004301149,0.00003033272,0.00003827695,0.000002176206,0.00001276119,0.00001566337,0.00008707702],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8464836,"threshold_uncertainty_score":0.3605607,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02650016410362916,"score_gpt":0.2241168297813326,"score_spread":0.1976166656777035,"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."}}