{"id":"W2053502563","doi":"10.1049/iet-map.2012.0618","title":"Breast tumour identification based on inverse scattering approach","year":2013,"lang":"en","type":"article","venue":"IET Microwaves Antennas & Propagation","topic":"Microwave Imaging and Scattering Analysis","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Identification (biology); Inverse scattering problem; Scattering; Inverse problem; Medicine; Computer science; Physics; Mathematics; Optics; Mathematical analysis; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000313877,0.0003910448,0.0004120768,0.000940312,0.0001736791,0.0005218327,0.000474711,0.0005690937,0.0008257618],"category_scores_gemma":[0.0008396247,0.0002713082,0.0006563044,0.0004388004,0.0002666764,0.0004702539,0.000431431,0.0002630008,0.0004711326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002545561,"about_ca_system_score_gemma":0.0004115959,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001025404,"about_ca_topic_score_gemma":0.0009363417,"domain_scores_codex":[0.9997483,0.00005070518,0.000009816035,0.00004748891,0.0001189508,0.00002478397],"domain_scores_gemma":[0.9997687,0.00008342097,0.00002435991,0.0000289031,0.00008441864,0.00001033913],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001665186,0.00008168012,0.004545568,0.0002155992,0.0000984837,0.0003798484,0.0003729906,0.3661853,0.1829018,0.0119946,0.001077845,0.4319797],"study_design_scores_gemma":[0.000004920106,0.00003643696,0.001349612,0.000009905882,0.00001526707,0.0003368501,0.00003908914,0.9802085,0.01461631,0.002037822,0.001331018,0.00001424465],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04185455,0.0001781137,0.9548475,0.00007876044,0.00002045416,0.00002934154,0.0000281491,0.0002560341,0.002707154],"genre_scores_gemma":[0.4452214,0.0004317772,0.5484927,0.00006055663,0.00002789254,0.00006664541,0.0001765004,0.000084853,0.005437772],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001025404,"threshold_uncertainty_score":0.002762437,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007734509317393836,"score_gpt":0.1917962880310956,"score_spread":0.1840617787137017,"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."}}