{"id":"W2121434054","doi":"10.1109/iembs.2005.1616038","title":"Preliminary Investigation of Breast Tumor Detection Using Cross-Vivaldi Antenna","year":2005,"lang":"en","type":"article","venue":"","topic":"Microwave Imaging and Scattering Analysis","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Vivaldi antenna; Breast cancer; Breast tumor; Microwave imaging; Antenna (radio); High contrast; Dielectric; Cancer detection; Microwave; Medicine; Optics; Materials science; Computer science; Antenna measurement; Physics; Cancer; Optoelectronics; 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":[0.0001090934,0.00009475755,0.0001176744,0.0001219475,0.00004230478,0.00002965719,0.00006282121,0.00002756116,0.00006888368],"category_scores_gemma":[0.000006636527,0.00009587813,0.00005976695,0.0001846251,0.00004521517,0.0001753789,0.00001421616,0.00007312667,0.00001740277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005275558,"about_ca_system_score_gemma":0.000006710469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001001681,"about_ca_topic_score_gemma":0.000009737563,"domain_scores_codex":[0.9994401,0.00001304024,0.000216562,0.0001114547,0.00008522897,0.0001336099],"domain_scores_gemma":[0.9997129,0.00001128924,0.00003448074,0.0001522726,0.0000441906,0.00004487216],"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":[0.00000546503,0.000004858287,0.007219298,0.00005091624,0.0000256333,8.906426e-7,0.0001117383,0.06160474,0.9274871,0.000001709617,0.00003486289,0.003452757],"study_design_scores_gemma":[0.00008681371,0.000008777674,0.0284732,0.00003010646,0.00002410888,0.00008647832,0.00002251203,0.6906558,0.2804739,0.00001262256,0.00002876568,0.00009692832],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9542467,0.00007832557,0.04503817,0.0000328424,0.00006340407,0.00003077874,0.000003792457,0.0001969015,0.0003091169],"genre_scores_gemma":[0.995711,0.000003376868,0.004051167,0.00002802328,0.00008573118,0.000001491355,0.000002840625,0.0000194253,0.00009691332],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6470132,"threshold_uncertainty_score":0.3909796,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01088064362610419,"score_gpt":0.224998165640405,"score_spread":0.2141175220143008,"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."}}