{"id":"W2782747687","doi":"10.1109/piers.2017.8262349","title":"Impact of histology region size on measured dielectric properties of biological tissues","year":2017,"lang":"en","type":"article","venue":"2017 Progress In Electromagnetics Research Symposium - Spring (PIERS)","topic":"Microwave Imaging and Scattering Analysis","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Irish Research Council; European Commission","keywords":"Dielectric; Materials science; Histology; Biological tissue; Confounding; Permittivity; Biomedical engineering; Computer science; Range (aeronautics); Biological system; Composite material; Optoelectronics; Medicine; Pathology; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001081656,0.0002901033,0.0006347917,0.0006437202,0.0002376454,0.0001085217,0.001102075,0.0002257068,0.00001061803],"category_scores_gemma":[0.0005841951,0.0002406029,0.0001993266,0.0003275486,0.0009591469,0.0001011029,0.0001641314,0.0007843638,0.000007551265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003422169,"about_ca_system_score_gemma":0.00009959812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004278935,"about_ca_topic_score_gemma":0.00004010376,"domain_scores_codex":[0.9972497,0.0002782744,0.0005067476,0.0004362754,0.000540183,0.0009888596],"domain_scores_gemma":[0.9980871,0.0001450976,0.0001869836,0.001171988,0.0002800835,0.0001287307],"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":[0.0002837772,0.0002663037,0.1063861,0.0003049561,0.0002330944,0.00005617693,0.0005113608,0.0007549707,0.8833224,0.0001115724,0.0003409227,0.007428383],"study_design_scores_gemma":[0.00198666,0.007266645,0.2754333,0.001183736,0.00009524624,0.0000702979,0.0000566268,0.04211748,0.6700141,0.0002698698,0.0004454937,0.001060534],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9898054,0.007708451,0.00002546089,0.0002757784,0.00008798395,0.0002982883,0.000002867403,0.00008281905,0.00171294],"genre_scores_gemma":[0.9969649,0.002391001,0.000340884,0.000001700649,0.00006050987,0.00005311216,0.000001501668,0.00004559239,0.0001408049],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2133083,"threshold_uncertainty_score":0.9811502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07606370364712203,"score_gpt":0.3489322163728133,"score_spread":0.2728685127256912,"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."}}