{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007689274,0.0008695089,0.001223765,0.0005510155,0.0002195411,0.0001224975,0.003153258,0.0003788466,0.002066824],"category_scores_gemma":[0.00006146247,0.001109493,0.0002613348,0.0007745463,0.0005883109,0.000833213,0.00166547,0.001105986,0.01200457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004047577,"about_ca_system_score_gemma":0.001009642,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01890541,"about_ca_topic_score_gemma":0.02110277,"domain_scores_codex":[0.9953686,0.0002612266,0.0007486218,0.001695654,0.001063396,0.0008625126],"domain_scores_gemma":[0.9921177,0.00009195994,0.001173995,0.005893989,0.0003544884,0.0003678858],"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":[0.00008928056,0.0003746716,0.0003226372,0.0004257232,0.0003814651,0.007017864,0.000007379932,0.00000249134,0.002460625,8.725071e-7,0.9885697,0.000347226],"study_design_scores_gemma":[0.0007974445,0.00001124528,0.0005161877,0.0003785675,0.001067012,0.001969349,0.0003939856,0.000006877189,0.0004467089,0.000004210219,0.9934219,0.0009865717],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001379885,0.0002393301,0.0000388693,0.00003601921,0.001070186,0.0003851534,0.9979128,0.0000906008,0.00008907372],"genre_scores_gemma":[0.00003211055,0.0002267184,0.0004253715,0.0001551933,0.0004361131,0.000001713202,0.998504,0.0001467886,0.00007195863],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.009937745,"threshold_uncertainty_score":0.9991355,"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."}}