{"id":"W1890436050","doi":"10.1109/iembs.1993.978421","title":"Image acquisition and display considerations for digital mammography","year":2005,"lang":"en","type":"article","venue":"","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Sunnybrook Health Science Centre","funders":"","keywords":"Computer science; Digital mammography; Mammography; Computer vision; Computer graphics (images); Artificial intelligence; Medicine; Breast 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003833772,0.0006327991,0.0006702837,0.002061349,0.001143329,0.003912106,0.001335934,0.003206785,0.01309302],"category_scores_gemma":[0.02614891,0.0009679138,0.000701412,0.001270052,0.000687512,0.002526138,0.001436764,0.002092579,0.002961574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007387633,"about_ca_system_score_gemma":0.0009399622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001377885,"about_ca_topic_score_gemma":0.003461576,"domain_scores_codex":[0.9977002,0.0008020464,0.0003012121,0.0001361942,0.0009414947,0.0001188833],"domain_scores_gemma":[0.9811668,0.01449626,0.0005628407,0.0006482645,0.002606,0.0005198594],"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":[0.004425716,0.0002359987,0.01816647,0.002903615,0.0001158131,0.01315884,0.001559155,0.005647679,0.1858615,0.02313058,0.03582084,0.7089738],"study_design_scores_gemma":[0.0005503126,0.002630104,0.09807379,0.002897781,0.001224005,0.2566605,0.003299616,0.08122782,0.1579155,0.03808179,0.3567532,0.0006855764],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1170186,0.05575391,0.7026367,0.05785413,0.002872052,0.0005684088,0.001018821,0.004895398,0.05738208],"genre_scores_gemma":[0.3089385,0.01590759,0.6499026,0.007091255,0.003151956,0.0002479501,0.0005479603,0.00199238,0.01221968],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01309302,"threshold_uncertainty_score":0.04380053,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009189186123597565,"score_gpt":0.253392674280459,"score_spread":0.2442034881568615,"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."}}