{"id":"W3180808425","doi":"10.1002/mp.15084","title":"Motion artifacts assessment and correction using optical tracking in synchrotron radiation breast CT","year":2021,"lang":"en","type":"article","venue":"Medical Physics","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Fiducial marker; Imaging phantom; Tracking (education); Nuclear medicine; Synchrotron radiation; Match moving; Image resolution; Optics; Physics; Rotation (mathematics); Image-guided radiation therapy; Medical imaging; Computer vision; Medical physics; Computer science; Artificial intelligence; Motion (physics); 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":[0.0002716338,0.00008975112,0.0001928884,0.0000313116,0.00005347131,0.00002276478,0.00003004883,0.00006249163,0.00009568989],"category_scores_gemma":[0.0001890236,0.00008419529,0.0000365477,0.0002404777,0.00008653219,0.00009188955,0.00003479098,0.000403717,0.000003599246],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001718582,"about_ca_system_score_gemma":0.000223184,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000402297,"about_ca_topic_score_gemma":0.00000378705,"domain_scores_codex":[0.9988776,0.00004070709,0.0002295083,0.0002349323,0.0004461779,0.0001710641],"domain_scores_gemma":[0.9994535,0.00006556357,0.00004552396,0.0001467927,0.00006100662,0.0002276483],"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":[0.00001012145,0.0006500601,0.03006658,0.00008451326,0.00001591389,0.000142293,0.00005196444,0.00003344515,0.01505536,0.001012871,0.0006385552,0.9522383],"study_design_scores_gemma":[0.001907211,0.00008875535,0.283727,0.001072913,0.0001522196,0.00177257,0.00008786142,0.652823,0.05466376,0.002577199,0.0008412423,0.0002862736],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7014781,0.00004164454,0.2904248,0.007188985,0.0001560368,0.0001984174,0.00000148175,0.00007652742,0.0004340003],"genre_scores_gemma":[0.9952484,0.00006420563,0.003773462,0.0004829958,0.0003174527,0.0000175282,0.00006020061,0.00001272827,0.00002296174],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.951952,"threshold_uncertainty_score":0.3433384,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03106004852914822,"score_gpt":0.3665477217203167,"score_spread":0.3354876731911685,"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."}}