{"id":"W3094924690","doi":"10.1093/jbi/wbaa086","title":"Digital Breast Tomosynthesis: Technique and Common Artifacts","year":2020,"lang":"en","type":"article","venue":"Journal of Breast Imaging","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sunnybrook Health Science Centre","funders":"","keywords":"Tomosynthesis; Digital Breast Tomosynthesis; Computer vision; Artificial intelligence; Computer science; Pixel; Detector; Image resolution; Iterative reconstruction; Mammography; 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":[0.004299382,0.0006781365,0.0005148371,0.003348769,0.0004813445,0.001214515,0.001340973,0.001608396,0.0008902145],"category_scores_gemma":[0.007558067,0.0006059262,0.000490747,0.003036618,0.002031159,0.001305978,0.001187123,0.00229283,0.00139701],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006419139,"about_ca_system_score_gemma":0.0005631241,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000644136,"about_ca_topic_score_gemma":0.00101422,"domain_scores_codex":[0.997561,0.0005656074,0.0003312668,0.0003918082,0.001048344,0.0001019593],"domain_scores_gemma":[0.9967249,0.001544463,0.0004618272,0.0005069455,0.0005985255,0.0001633789],"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":[0.0005209433,0.0001747845,0.01704867,0.002456937,0.0001025645,0.007187326,0.0009028788,0.001072326,0.07548391,0.008145578,0.005703247,0.8812009],"study_design_scores_gemma":[0.0001233704,0.001111803,0.05830629,0.001239123,0.0003694422,0.5419505,0.0006920022,0.006361059,0.1330646,0.01296061,0.2434515,0.0003696879],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.09138381,0.3076001,0.5667145,0.008444455,0.001093601,0.0004277971,0.0003670084,0.001442623,0.02252606],"genre_scores_gemma":[0.3110502,0.1628339,0.5060758,0.003780617,0.00207381,0.0004224509,0.0006634731,0.0007734891,0.01232625],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004299382,"threshold_uncertainty_score":0.02273762,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008389575528669525,"score_gpt":0.228535339465109,"score_spread":0.2201457639364394,"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."}}