{"id":"W1579821911","doi":"10.1120/jacmp.v13i1.3441","title":"Image intensifier distortion correction for fluoroscopic RSA: the need for independent accuracy assessment","year":2012,"lang":"en","type":"article","venue":"Journal of Applied Clinical Medical Physics","topic":"Radiation Dose and Imaging","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fowler Kennedy Sport Medicine Clinic; Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Imaging phantom; Distortion (music); Polynomial; Mathematics; Image intensifier; Position (finance); Calibration; Perpendicular; Grid; Range (aeronautics); Mean squared error; Error detection and correction; Optics; Algorithm; Computer science; Mathematical analysis; Physics; Statistics; Geometry; Materials science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002583396,0.0001285595,0.0004798436,0.0000341772,0.0001140207,0.00002721367,0.0001505091,0.0001486608,0.00004719194],"category_scores_gemma":[0.003108481,0.00007842499,0.0003819097,0.000105493,0.000137234,0.0002224773,0.00003122041,0.0008035109,0.000007515994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001368943,"about_ca_system_score_gemma":0.0003509008,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001442907,"about_ca_topic_score_gemma":2.648948e-7,"domain_scores_codex":[0.9977702,0.00004699785,0.001086507,0.0001318575,0.000698032,0.0002663287],"domain_scores_gemma":[0.9961184,0.002229105,0.000748108,0.0001830663,0.000325709,0.0003956058],"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":[0.001668214,0.001878415,0.009880748,0.0001172517,0.0004673311,0.000002965959,0.000395894,0.000009622774,0.002139179,0.00198475,0.09724243,0.8842132],"study_design_scores_gemma":[0.05582461,0.006365805,0.5273256,0.0012922,0.005639789,0.0003275034,0.005104228,0.07056989,0.0233465,0.03059472,0.2723345,0.001274702],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.203249,0.0001238852,0.7725773,0.01234782,0.008960688,0.00141823,0.000005315157,0.00002916147,0.001288548],"genre_scores_gemma":[0.9829881,0.00008984782,0.00416584,0.004345624,0.00825947,0.0000508936,0.00001734944,0.00002433079,0.00005859583],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8829385,"threshold_uncertainty_score":0.3721367,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0529309085066354,"score_gpt":0.426428470747277,"score_spread":0.3734975622406416,"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."}}