{"id":"W6944938056","doi":"10.21227/1y0z-8t98","title":"University of Manitoba Breast Microwave Imaging Dataset (UM-BMID)","year":2021,"lang":"en","type":"dataset","venue":"IEEE DataPort","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Breast cancer; Microwave imaging; Breast imaging; Microwave; Imaging phantom; Breast screening; Mammography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001045262,0.003442413,0.002019329,0.003599043,0.00114192,0.001956838,0.004659411,0.002908429,0.01952388],"category_scores_gemma":[0.004980143,0.0005760701,0.00153859,0.004755821,0.0006638387,0.0009031261,0.0018898,0.001740526,0.03862843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002396977,"about_ca_system_score_gemma":0.00312948,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07566004,"about_ca_topic_score_gemma":0.1348263,"domain_scores_codex":[0.9989876,0.0001466355,0.00009851761,0.0002873416,0.0003199932,0.0001598655],"domain_scores_gemma":[0.9982347,0.0004503968,0.0001322872,0.0003970152,0.0006284146,0.0001570102],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000204803,0.0001007423,0.002479262,0.0012264,0.0001005497,0.0001321585,0.00003220531,0.001076704,0.0006678305,0.0003338186,0.9838889,0.009756633],"study_design_scores_gemma":[0.0004912248,0.0001140693,0.01423533,0.0006592991,0.0001561485,0.0005517956,0.0002076966,0.00569019,0.002649708,0.001613279,0.973527,0.0001043118],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001236671,0.0004636247,0.0003153632,0.0002060373,0.00006546352,0.00004412184,0.9953791,0.001216836,0.001072797],"genre_scores_gemma":[0.001084989,0.000140929,0.0006147943,0.00005241551,0.000008996213,0.00008226559,0.9974959,0.00004560074,0.0004740613],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.92434,"threshold_uncertainty_score":0.1504393,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01786571404301845,"score_gpt":0.239374095548964,"score_spread":0.2215083815059455,"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."}}