{"id":"W2795047228","doi":"","title":"A Comparison of Classifiers for Detecting Tumours Using Microwave Scattering in Numerical Breast Models","year":2018,"lang":"en","type":"article","venue":"CMBES Proceedings","topic":"Microwave Imaging and Scattering Analysis","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Artificial intelligence; Microwave; Computer science; Pattern recognition (psychology); Mathematics; 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":[0.0002302892,0.0002110458,0.0004206471,0.0003044897,0.00009266628,0.00006690566,0.0001926778,0.0000826548,0.000004612113],"category_scores_gemma":[0.00002699902,0.0002345053,0.0001162544,0.0004138343,0.0001157224,0.0002235141,0.00004732007,0.0001788409,0.000002815015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001379235,"about_ca_system_score_gemma":0.00001381444,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005765486,"about_ca_topic_score_gemma":0.000009393703,"domain_scores_codex":[0.998693,0.000004683665,0.0004600981,0.0002838681,0.0001218291,0.0004365389],"domain_scores_gemma":[0.9995513,0.00002960473,0.0001003352,0.0001007928,0.0001413987,0.00007656978],"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":[0.00002705324,0.00002806593,0.03666009,0.0003357432,0.00004672085,4.901848e-7,0.002868718,0.01012709,0.9459144,0.00003001668,0.00020821,0.003753413],"study_design_scores_gemma":[0.000226285,0.00002877723,0.0009216851,0.0002252289,0.00004039288,0.00003371608,0.001065631,0.8052739,0.1918029,0.0001399382,0.00002041589,0.0002211044],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9140711,0.00008934866,0.08485167,0.00003765772,0.0001141524,0.0001204989,0.000005940179,0.0001355125,0.0005740629],"genre_scores_gemma":[0.9843426,0.000002141759,0.01540964,0.00001711986,0.0001456733,0.00001400057,0.000001827618,0.00005854527,0.000008452215],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7951468,"threshold_uncertainty_score":0.9562847,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04121177548825747,"score_gpt":0.2934723563099129,"score_spread":0.2522605808216555,"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."}}