{"id":"W2006056707","doi":"10.1109/eucap.2014.6901806","title":"Comparison of image quality metrics for electromagnetic wave propagation speed estimation in Breast Microwave Radar imaging scenarios","year":2014,"lang":"en","type":"article","venue":"","topic":"Microwave Imaging and Scattering Analysis","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"CancerCare Manitoba; University of Manitoba","funders":"","keywords":"Microwave imaging; Image quality; Computer science; Radar; Breast cancer; Microwave; Modality (human–computer interaction); Artificial intelligence; Computer vision; Pattern recognition (psychology); Image (mathematics); Telecommunications; Medicine; Cancer","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":[0.0007319376,0.0001809704,0.0004135156,0.0004244924,0.0000398384,0.00005958748,0.0001086523,0.00004560154,0.00001677559],"category_scores_gemma":[0.0001295562,0.0001864799,0.0001039302,0.0005191772,0.0000405293,0.00014535,0.00001720422,0.0001347362,0.000007057439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001196721,"about_ca_system_score_gemma":0.0000139108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001680815,"about_ca_topic_score_gemma":0.00004125944,"domain_scores_codex":[0.9985943,0.00007489271,0.0006368198,0.0002296657,0.0001713408,0.0002930221],"domain_scores_gemma":[0.9993114,0.0001501387,0.0001199704,0.0002548288,0.0001143561,0.00004924602],"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":[0.00001538092,0.00006272493,0.005056845,0.000337688,0.00002816623,3.328133e-7,0.000291317,0.008763879,0.9543663,0.0001438392,0.0003684675,0.03056508],"study_design_scores_gemma":[0.000437365,0.00002115569,0.006765263,0.00003480539,0.00004043854,0.000007233384,0.00006023608,0.8122327,0.1799876,0.0001976718,0.0000326467,0.000182881],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3694539,0.00007679096,0.6289023,0.0002433735,0.00005132194,0.0002121648,0.00000796563,0.0001322813,0.0009198359],"genre_scores_gemma":[0.9192243,0.000003534529,0.08059049,0.0000198153,0.00002230826,0.00000713859,0.00006404061,0.00002914302,0.00003920102],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8034688,"threshold_uncertainty_score":0.760443,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01598520100541543,"score_gpt":0.2775002541179024,"score_spread":0.2615150531124869,"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."}}