{"id":"W2088355935","doi":"10.1117/12.877854","title":"Analysis of multilayer and single layer X-ray detectors for contrast-enhanced mammography using imaging task","year":2011,"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":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Detector; Optics; Mammography; Energy (signal processing); X-ray detector; Noise (video); Noise power; Physics; Computer science; Power (physics); Artificial intelligence","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":[0.0006929678,0.0003743109,0.0004765047,0.0004157884,0.0001465877,0.0005011112,0.0004385173,0.0004018092,0.0008087599],"category_scores_gemma":[0.002596678,0.0002028297,0.0005383326,0.0002713571,0.0001829865,0.0005015231,0.0003029772,0.0001540064,0.0001505836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000542837,"about_ca_system_score_gemma":0.0003514026,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00135576,"about_ca_topic_score_gemma":0.001018974,"domain_scores_codex":[0.9996855,0.00005458049,0.0000181352,0.00006117963,0.0001423188,0.00003828556],"domain_scores_gemma":[0.9990264,0.0005371611,0.0001406221,0.00006914246,0.0001916813,0.00003495132],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001937926,0.0001564867,0.01837212,0.0005206545,0.0002381502,0.0006216721,0.0001996378,0.4674118,0.3733422,0.0120793,0.0007070199,0.124413],"study_design_scores_gemma":[0.000007521623,0.000198063,0.005143461,0.00000736043,0.00004323502,0.0001378822,0.0000150833,0.9690771,0.0242878,0.0006697793,0.0003973779,0.00001534607],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5946665,0.0008540325,0.4017433,0.00007442068,0.00001985662,0.00006937737,0.0001332227,0.000307375,0.002131839],"genre_scores_gemma":[0.9594964,0.0001924899,0.03936347,0.00001080569,0.000005573498,0.00002584065,0.00009582187,0.00001910501,0.0007904773],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00135576,"threshold_uncertainty_score":0.003938556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01714662851979652,"score_gpt":0.2372648897564897,"score_spread":0.2201182612366932,"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."}}