{"id":"W2001465542","doi":"10.1118/1.1510128","title":"Development of contrast digital mammography","year":2002,"lang":"en","type":"article","venue":"Medical Physics","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":113,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; University of Toronto; Sunnybrook Health Science Centre","funders":"National Cancer Institute","keywords":"Mammography; Digital mammography; Imaging phantom; Nuclear medicine; Computed radiography; Materials science; Kerma; Dosimetry; Optics; Radiology; Breast cancer; Medicine; Physics; Computer science; Image quality; Cancer","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":[0.00006126804,0.0001065679,0.0002351023,0.00005735828,0.00002903591,0.00001661421,0.00008804451,0.00004436315,0.0002206459],"category_scores_gemma":[0.00005268353,0.00008511675,0.0001532724,0.0003507316,0.0002137228,0.0001363249,0.00002834921,0.0001371167,0.00005098715],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000902321,"about_ca_system_score_gemma":0.00004018725,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":4.47632e-7,"about_ca_topic_score_gemma":1.922621e-7,"domain_scores_codex":[0.9987667,0.000003371702,0.0002533558,0.0001384412,0.0006340314,0.000204129],"domain_scores_gemma":[0.9994597,0.00003648216,0.00004784248,0.0001342006,0.00004915117,0.0002725538],"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":[0.00001735879,0.0007295132,0.01532286,0.00006681039,0.0001062122,0.0000355903,0.0002469487,5.988907e-8,0.0001081757,0.0003276124,0.001275266,0.9817636],"study_design_scores_gemma":[0.02963785,0.002079582,0.2664389,0.006028353,0.0008340919,0.001658256,0.001278743,0.002685812,0.0992651,0.01517141,0.5714433,0.003478569],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8009313,0.0006530748,0.01590754,0.001112137,0.0002219335,0.0002676877,0.0000245458,0.0001713257,0.1807104],"genre_scores_gemma":[0.9989359,0.00001151076,0.0004524908,0.0002943571,0.0001426255,0.000004208314,0.0000186702,0.00001175021,0.0001285049],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.978285,"threshold_uncertainty_score":0.347096,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01568106399794283,"score_gpt":0.2323335460329211,"score_spread":0.2166524820349783,"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."}}