{"id":"W2470849666","doi":"10.1118/1.4957865","title":"WE‐DE‐207B‐05: Measuring Spatial Resolution in Digital Breast Tomosynthesis: Update of AAPM Task Group 245","year":2016,"lang":"en","type":"article","venue":"Medical Physics","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; Sunnybrook Health Science Centre","funders":"","keywords":"Image resolution; Optical transfer function; Imaging phantom; Tomosynthesis; Optics; Image quality; Point spread function; Iterative reconstruction; Deconvolution; Detector; Physics; Computer science; Mammography; Artificial intelligence; Medicine","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":[0.04800614,0.001737175,0.001141677,0.005128709,0.00152706,0.003688342,0.004456132,0.003296155,0.002421378],"category_scores_gemma":[0.02628924,0.000967555,0.001091001,0.003145762,0.001397161,0.001511259,0.002547848,0.001953213,0.006625557],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002050119,"about_ca_system_score_gemma":0.008130686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008762887,"about_ca_topic_score_gemma":0.007732677,"domain_scores_codex":[0.9773418,0.007152348,0.002804934,0.001063885,0.01080965,0.0008273607],"domain_scores_gemma":[0.9315213,0.008202161,0.007241702,0.005022044,0.04581315,0.002199678],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001433495,0.0013879,0.04251036,0.004247788,0.0002629623,0.0005857139,0.001125701,0.00683643,0.04313407,0.006419667,0.19454,0.6975158],"study_design_scores_gemma":[0.000265133,0.001753583,0.1043745,0.003034628,0.0003091182,0.002631135,0.0004554619,0.00739378,0.07266776,0.00326527,0.8036263,0.0002232721],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1431098,0.1053464,0.4646716,0.02620066,0.007973183,0.01549324,0.02169072,0.008194493,0.2073199],"genre_scores_gemma":[0.2618712,0.04833221,0.5400586,0.008643772,0.003163024,0.02258855,0.04894765,0.00367433,0.0627207],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.04800614,"threshold_uncertainty_score":0.2538838,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0108907434475172,"score_gpt":0.2214292922693666,"score_spread":0.2105385488218494,"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."}}