{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003428574,0.0001835936,0.0003764702,0.0001151039,0.00002902898,0.00002375819,0.0001771948,0.0001056598,0.00005770233],"category_scores_gemma":[0.0002990985,0.0001284757,0.000190846,0.0003427746,0.0003204513,0.0004536331,0.00008020956,0.0002112607,0.0000322503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009664363,"about_ca_system_score_gemma":0.0001380618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007831094,"about_ca_topic_score_gemma":0.00001339894,"domain_scores_codex":[0.9980181,0.00003053339,0.000385397,0.0002877337,0.000846328,0.0004319498],"domain_scores_gemma":[0.9991117,0.0001359634,0.000100065,0.0002682158,0.00006196486,0.0003220717],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003316932,0.0007373359,0.02851006,0.000126354,0.00007288141,0.0001251946,0.0001358803,7.706116e-7,0.002633641,0.0007367395,0.0004699815,0.9661195],"study_design_scores_gemma":[0.04188655,0.002819785,0.6124845,0.04588838,0.001108968,0.005321322,0.0009682615,0.004790889,0.1087639,0.1480284,0.02373872,0.004200382],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9099655,0.0003506346,0.06800328,0.01043926,0.0004286749,0.0004085847,0.0002222079,0.0002184909,0.009963394],"genre_scores_gemma":[0.9990592,0.00005897077,0.00006856638,0.0001739476,0.000538183,0.000009957129,0.00001944337,0.00002669897,0.0000450451],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9619191,"threshold_uncertainty_score":0.5239088,"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."}}