{"id":"W2104000425","doi":"10.1120/jacmp.v8i3.2483","title":"Lag correction model and ghosting analysis for an indirect‐conversion flat‐panel imager","year":2007,"lang":"en","type":"article","venue":"Journal of Applied Clinical Medical Physics","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Sunnybrook Health Science Centre","funders":"","keywords":"Ghosting; Tomosynthesis; Lag; Optics; Flat panel; Detector; Flat panel detector; Imaging phantom; Nuclear medicine; Physics; Computer science; Medicine","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":[0.002092423,0.000159993,0.0006024806,0.00009413499,0.0001055185,0.00002205128,0.0001907529,0.0001500367,0.00003383391],"category_scores_gemma":[0.0000983918,0.0001323493,0.0003280813,0.0002776381,0.0001615841,0.0001967282,0.00003606088,0.0007024515,4.85814e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003308134,"about_ca_system_score_gemma":0.00009526018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004950237,"about_ca_topic_score_gemma":9.691781e-7,"domain_scores_codex":[0.998131,0.00003279236,0.0009187367,0.000237272,0.0004323587,0.0002478076],"domain_scores_gemma":[0.9975228,0.001048979,0.0007052461,0.0001583645,0.0001666153,0.0003980038],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00113088,0.0008259914,0.04402025,0.00002448877,0.001406358,0.000005329013,0.0004298397,0.002359848,0.003977966,0.003503607,0.001160135,0.9411553],"study_design_scores_gemma":[0.009110094,0.002257436,0.01238651,0.0002024333,0.003062635,0.00001208291,0.0008623989,0.7646163,0.04251044,0.1606518,0.003018134,0.001309855],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2315083,0.00001389055,0.767367,0.0000485843,0.0001989756,0.0001253055,0.000003598601,0.00002292736,0.0007113592],"genre_scores_gemma":[0.9312299,0.00003146847,0.06641176,0.0003428871,0.001919095,0.000003854577,0.00001084976,0.00002567288,0.00002446264],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9398454,"threshold_uncertainty_score":0.5397049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04681138233279582,"score_gpt":0.3788952710272165,"score_spread":0.3320838886944207,"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."}}