{"id":"W2092968637","doi":"10.1118/1.2965963","title":"Sci‐Fri AM: YIS‐01: Comprehensive MR distortion correction: Phantom validation and in‐vivo application","year":2008,"lang":"en","type":"article","venue":"Medical Physics","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Imaging phantom; Distortion (music); Medical physics; Computer science; Physics; Optics; Telecommunications; Bandwidth (computing)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00244778,0.000851119,0.0004231201,0.0006608444,0.0002668063,0.0004344009,0.0008208738,0.0004958353,0.005889477],"category_scores_gemma":[0.002323303,0.000496197,0.0002670636,0.0006826033,0.0006564235,0.0002991305,0.0007091968,0.0004436564,0.001618285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003702874,"about_ca_system_score_gemma":0.0006096805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002156189,"about_ca_topic_score_gemma":0.001737456,"domain_scores_codex":[0.9995223,0.0001361691,0.00002561473,0.00006812808,0.0002100026,0.00003783562],"domain_scores_gemma":[0.9990733,0.0002029385,0.0001376812,0.0002637461,0.0002638296,0.00005858004],"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":[0.00139671,0.0002964174,0.001263813,0.0004887122,0.00007682243,0.0002157962,0.0002342602,0.01063032,0.9076472,0.0009144356,0.003837714,0.07299775],"study_design_scores_gemma":[0.0001760407,0.002102853,0.01076244,0.00006109322,0.00009688154,0.001236543,0.00005183396,0.03287462,0.9268037,0.000270026,0.0254969,0.00006699566],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5202422,0.001492725,0.453332,0.0005191606,0.0001387746,0.001623594,0.002657321,0.009983497,0.01001074],"genre_scores_gemma":[0.5646143,0.001545478,0.4092233,0.0002887902,0.00006219226,0.001606017,0.003807693,0.003134963,0.01571729],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.005889477,"threshold_uncertainty_score":0.01970226,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02706434812927128,"score_gpt":0.3209794927204437,"score_spread":0.2939151445911725,"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."}}