{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000330366,0.00007438651,0.00009574759,0.0001161886,0.00006799171,0.0001674455,0.00001112257,0.00002059026,0.00006190596],"category_scores_gemma":[0.00002611836,0.00005993132,0.00009247678,0.0000851126,0.00008736782,0.0006078203,0.000008524828,0.0000307508,0.00000863283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005163586,"about_ca_system_score_gemma":0.00001094562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001084644,"about_ca_topic_score_gemma":0.000001740476,"domain_scores_codex":[0.9995663,0.000001872199,0.0001069056,0.0001317588,0.00006660636,0.0001266021],"domain_scores_gemma":[0.9996746,0.00008151672,0.00001644396,0.00007953142,0.0000528146,0.00009504878],"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":[0.000807788,0.002012845,0.1422961,0.000500078,0.0007718843,0.0000863946,0.0008161619,0.000005095837,0.02854742,0.1697567,0.1004005,0.5539991],"study_design_scores_gemma":[0.02818723,0.003381647,0.6586544,0.0007234286,0.001341847,0.01079224,0.002143783,0.01870517,0.02068034,0.1178949,0.1348672,0.002627763],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7736128,0.0003517065,0.02532224,0.01854449,0.00007478562,0.0009691101,0.0002705474,0.0003145616,0.1805398],"genre_scores_gemma":[0.981169,0.000005071799,0.01723011,0.001046398,0.0001140692,0.00001812332,0.00004915722,0.000008462272,0.0003595545],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5513713,"threshold_uncertainty_score":0.2443929,"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."}}