{"id":"W2148553912","doi":"10.1148/radiol.2471070418","title":"Accuracy of Soft-Copy Digital Mammography versus That of Screen-Film Mammography according to Digital Manufacturer: ACRIN DMIST Retrospective Multireader Study","year":2008,"lang":"en","type":"article","venue":"Radiology","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"University of North Carolina at Chapel Hill; Thomas Jefferson University; Moffitt Cancer Center; University of Cincinnati; Johns Hopkins University; Northwestern University; Massachusetts General Hospital; University of California, Los Angeles; Memorial Sloan-Kettering Cancer Center; University of Washington; Brown University; National Cancer Institute; University of Toronto; Emory University; University of Pennsylvania","keywords":"Medicine; Mammography; Digital mammography; Medical physics; Radiology; Receiver operating characteristic; Institutional review board; Breast cancer; Cancer; Surgery; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.004734025,0.0004411024,0.0005616573,0.001398795,0.000216908,0.001232671,0.0006573282,0.0005419682,0.0009508854],"category_scores_gemma":[0.02215866,0.000312084,0.0004667168,0.0007881284,0.0004234474,0.0006448376,0.0005515082,0.0003154222,0.0004536912],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003441617,"about_ca_system_score_gemma":0.0001673996,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006451034,"about_ca_topic_score_gemma":0.0009247913,"domain_scores_codex":[0.9949031,0.002058305,0.0005243167,0.001193791,0.00112567,0.000194847],"domain_scores_gemma":[0.9813496,0.007906735,0.006030216,0.00231193,0.002115669,0.000285812],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003442869,0.00006035215,0.9879445,0.00006962508,0.0002915884,0.00004913882,0.00007793727,0.0001452282,0.0007915393,0.00002837519,0.0001313921,0.006967416],"study_design_scores_gemma":[0.0001509132,0.001816925,0.9906875,0.00003657285,0.0004903875,0.001060298,0.0001150909,0.002050668,0.002643592,0.00006186905,0.0008615108,0.00002458464],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972082,0.0008370193,0.0005763178,0.0000220241,0.00001215813,0.00002969994,0.0005242896,0.00001920586,0.0007711148],"genre_scores_gemma":[0.998968,0.00009237145,0.0003085312,0.00002061451,0.00001856307,0.00001064562,0.000426263,0.000006189445,0.0001488568],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004734025,"threshold_uncertainty_score":0.02503622,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02657125350371157,"score_gpt":0.2803575615736214,"score_spread":0.2537863080699098,"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."}}