{"id":"W2041977918","doi":"10.1148/rg.295095041","title":"MR Imaging at 3.0 T in Children: Technical Differences, Safety Issues, and Initial Experience","year":2009,"lang":"en","type":"review","venue":"Radiographics","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"","keywords":"Medicine; Magnetic resonance imaging; Image quality; Signal-to-noise ratio (imaging); Field of view; Specific absorption rate; Noise (video); Computer vision; Nuclear medicine; Radiology; Image (mathematics); Computer science; Telecommunications","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001427209,0.0004224336,0.001397431,0.0005185496,0.0001274527,0.00002164219,0.0002218431,0.0003428681,0.00001797641],"category_scores_gemma":[0.00003338204,0.0003488532,0.0003076118,0.001082358,0.0003605452,0.00006296656,0.0001229446,0.0007806559,0.00000225426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001293789,"about_ca_system_score_gemma":0.00006858907,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003104341,"about_ca_topic_score_gemma":0.00001134966,"domain_scores_codex":[0.9980809,0.00004898996,0.000651269,0.0006314749,0.0002359901,0.0003513388],"domain_scores_gemma":[0.998936,0.00007618654,0.0001990732,0.0005812483,0.00002959893,0.0001779245],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001009641,0.0001108881,0.00553378,0.0005141353,0.00001356405,0.00003423916,0.00002592046,5.728245e-8,0.000001811451,0.001902762,0.0002916828,0.9915611],"study_design_scores_gemma":[0.0003267667,0.00007545823,0.005794026,0.006006675,0.0002964885,0.00172697,0.000006226064,0.00001008601,0.000001792443,0.0003702504,0.9849463,0.0004389283],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00008108963,0.9959625,0.001538216,0.0001703624,0.0000210519,0.001466236,0.00005112992,0.0002188183,0.0004906131],"genre_scores_gemma":[0.0005025447,0.9886635,0.009930535,0.0001326872,0.0001691068,0.0002631374,0.0002369931,0.00004598472,0.00005550239],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9911221,"threshold_uncertainty_score":0.9998963,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03074396021031089,"score_gpt":0.3834772496204582,"score_spread":0.3527332894101473,"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."}}