{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001252744,0.0009365876,0.001467835,0.001867653,0.0002314049,0.0008113408,0.0007856932,0.001106018,0.001676387],"category_scores_gemma":[0.001843834,0.0003137136,0.0005101113,0.001945495,0.0006458228,0.001819293,0.0004427191,0.001170654,0.001712689],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005059205,"about_ca_system_score_gemma":0.0008699574,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001275757,"about_ca_topic_score_gemma":0.001702962,"domain_scores_codex":[0.9996259,0.00007623377,0.00007960224,0.00006905515,0.0001202287,0.00002891816],"domain_scores_gemma":[0.9992009,0.000388006,0.0001020563,0.00002971646,0.0002189295,0.00006044891],"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":[0.0001592778,0.0000727512,0.001502968,0.00939613,0.00006441031,0.002355632,0.0002072096,0.0002732945,0.002763286,0.0009162137,0.007620753,0.974668],"study_design_scores_gemma":[0.00008186449,0.0007728502,0.01558211,0.008409271,0.0004031345,0.07459597,0.0006309919,0.000288005,0.005125615,0.002743932,0.8912635,0.0001028358],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001242339,0.997075,0.0003075439,0.0002534145,0.00007430151,0.000005035709,0.00001317512,0.000007900628,0.001021337],"genre_scores_gemma":[0.004656303,0.9937857,0.0007160693,0.0001668088,0.0001342554,0.000008991647,0.00002633199,0.000004228846,0.0005012484],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.001867653,"threshold_uncertainty_score":0.006625175,"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."}}