{"id":"W2124465355","doi":"10.1109/iembs.1989.95979","title":"Medical image delays with ACR/NEMA standard","year":2003,"lang":"en","type":"article","venue":"","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Workload; DICOM; Computer science; Digital image; Center (category theory); Computer vision; Picture archiving and communication system; Medical imaging; Image (mathematics); Medical physics; Artificial intelligence; Multimedia; Image processing; Medicine; Operating system","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001973159,0.0001105326,0.0001873745,0.0000806557,0.00003785668,0.00003535797,0.00005256449,0.00004239902,0.00234683],"category_scores_gemma":[0.00009204527,0.00006779943,0.0000636102,0.0002562824,0.0001537208,0.0001641856,0.000009907046,0.0001373098,0.0000583477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001641656,"about_ca_system_score_gemma":0.0001693401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008854231,"about_ca_topic_score_gemma":0.000007526157,"domain_scores_codex":[0.9989018,0.00001457513,0.000128491,0.0001764008,0.0005300133,0.0002486689],"domain_scores_gemma":[0.9993735,0.00003287946,0.00001892818,0.00018021,0.00007066839,0.000323814],"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":[0.002846032,0.00178361,0.3073126,0.000473971,0.001159085,0.009459448,0.0006069696,0.000001822862,0.002120904,0.161551,0.1228279,0.3898566],"study_design_scores_gemma":[0.0313559,0.006978815,0.06382255,0.001613729,0.0008143423,0.0450146,0.003771722,0.0003003974,0.04875998,0.00648678,0.7889585,0.002122654],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1340854,0.0001041764,0.02063302,0.001871893,0.00005258585,0.0001461334,0.000006549164,0.0001500515,0.8429502],"genre_scores_gemma":[0.9867926,0.00001133227,0.01018064,0.001467378,0.00004300522,0.000005164714,0.000007820384,0.00001743066,0.001474662],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8527072,"threshold_uncertainty_score":0.9985651,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004855097584048458,"score_gpt":0.2446643605697292,"score_spread":0.2398092629856808,"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."}}