{"id":"W2065348067","doi":"10.1117/12.912760","title":"Order of magnitude reduction of fluoroscopic x-ray dose","year":2012,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saskatchewan Health Research Foundation; Thunder Bay Regional Health Sciences Centre; Thunder Bay Regional Research Institute; Sunnybrook Hospital","funders":"Canadian Institutes of Health Research","keywords":"Fluoroscopy; Attenuator (electronics); Shutter; Detective quantum efficiency; Attenuation; Reduction (mathematics); Frame rate; Nuclear medicine; Computer science; Optics; Image quality; Materials science; Medicine; Physics; Mathematics; Radiology; Computer vision; Image (mathematics)","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0006682866,0.0004592052,0.0002398718,0.0001962807,0.0001267324,0.0005546583,0.0007750792,0.0008342762,0.004608999],"category_scores_gemma":[0.001565374,0.0001896576,0.0002995338,0.0001663917,0.0001637519,0.0005088826,0.0003801611,0.0006015108,0.001124471],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006492176,"about_ca_system_score_gemma":0.0003754769,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008569448,"about_ca_topic_score_gemma":0.0005402025,"domain_scores_codex":[0.9996136,0.00005750861,0.00002025603,0.00007160154,0.0001972195,0.00003982958],"domain_scores_gemma":[0.9989594,0.0005775983,0.0001248452,0.0001389433,0.0001652676,0.00003389058],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006017736,0.0003023134,0.006782886,0.0007414047,0.0000869428,0.0001495681,0.0001737547,0.04265498,0.8390533,0.006606007,0.003658912,0.09918831],"study_design_scores_gemma":[0.00005678678,0.001125919,0.01702036,0.00006596121,0.0001130363,0.001033533,0.00005910063,0.2066976,0.7498803,0.001496888,0.02239661,0.0000538805],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3272121,0.005194177,0.6372895,0.0008660805,0.0002041464,0.0001807428,0.0009316297,0.004902249,0.02321941],"genre_scores_gemma":[0.8893278,0.001454269,0.1025286,0.0001640412,0.00003124669,0.0001322741,0.0006807244,0.0001943065,0.005486678],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004608999,"threshold_uncertainty_score":0.01541859,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01094988986550025,"score_gpt":0.2420653784217732,"score_spread":0.2311154885562729,"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."}}