{"id":"W2961417365","doi":"10.1007/s00247-019-04455-9","title":"Low b-value (50–100) diffusion-weighted images detect significantly more hyperintense liver lesions in children than T2-weighted images","year":2019,"lang":"en","type":"article","venue":"Pediatric Radiology","topic":"Hepatocellular Carcinoma Treatment and Prognosis","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hospital for Sick Children","funders":"","keywords":"Medicine; Neuroradiology; Diffusion MRI; Nuclear medicine; Value (mathematics); T2 weighted; Radiology; Ultrasound; Magnetic resonance imaging; Neurology; Statistics; Mathematics","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":[0.0003035248,0.0005241387,0.001005995,0.0007452618,0.0001208147,0.00002454264,0.0002885431,0.0004377812,0.0006561602],"category_scores_gemma":[0.0001307986,0.0004097649,0.0003621771,0.0007056375,0.0001710246,0.0001180889,0.0001283608,0.000578556,0.0005991652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001502055,"about_ca_system_score_gemma":0.0002265884,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006949127,"about_ca_topic_score_gemma":0.000008922294,"domain_scores_codex":[0.9969657,0.0003614128,0.0006146865,0.0009121208,0.0003101694,0.0008358837],"domain_scores_gemma":[0.9982118,0.0004289222,0.0001919249,0.0007053288,0.0001249634,0.000337037],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003857347,0.0004088068,0.9844157,0.00007530052,0.0001367114,0.0005981193,0.00022489,0.000002534713,0.00878158,0.0000128069,0.001500161,0.003457631],"study_design_scores_gemma":[0.00442435,0.0009107019,0.9845999,0.00003252459,0.000573015,0.0008212666,0.0000750999,0.002035269,0.005781659,0.00005812044,0.0001974989,0.000490521],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9898966,0.006753152,0.0000950062,0.000562651,0.0002877183,0.001732609,0.00009113726,0.0001897173,0.0003914133],"genre_scores_gemma":[0.9914292,0.005083102,0.001223563,0.0002651456,0.0007188699,0.0001329245,0.0003295106,0.00008370428,0.0007340061],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004038616,"threshold_uncertainty_score":0.9998354,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01532823083558722,"score_gpt":0.2280446338042536,"score_spread":0.2127164029686664,"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."}}