{"id":"W2893608205","doi":"10.1148/radiol.2018181494","title":"Liver Imaging Reporting and Data System (LI-RADS) Version 2018: Imaging of Hepatocellular Carcinoma in At-Risk Patients","year":2018,"lang":"en","type":"review","venue":"Radiology","topic":"Hepatocellular Carcinoma Treatment and Prognosis","field":"Medicine","cited_by":1115,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Medicine; Hepatocellular carcinoma; Context (archaeology); Radiology; Lexicon; Medical physics; Magnetic resonance imaging; Artificial intelligence; Internal 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001501944,0.0005564821,0.002852474,0.0005113964,0.0001212668,0.00001333406,0.0003460834,0.0003244108,0.00003410316],"category_scores_gemma":[0.0004876673,0.0004560587,0.0003202985,0.0002781224,0.000241204,0.0001246645,0.0007540457,0.0004157347,0.00005937544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005864507,"about_ca_system_score_gemma":0.0002268142,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007228001,"about_ca_topic_score_gemma":0.000009853078,"domain_scores_codex":[0.9952582,0.000634973,0.002101637,0.001213884,0.0002511198,0.0005401819],"domain_scores_gemma":[0.9952551,0.0002326067,0.002739026,0.001468651,0.0001181659,0.0001864625],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004119782,0.00005867232,0.8802188,0.01290284,0.000151714,0.001642176,0.00009137287,1.130358e-8,0.00000144345,0.000002836592,0.0008925532,0.1039964],"study_design_scores_gemma":[0.006993935,0.0007772211,0.09391318,0.0519021,0.01445015,0.009768662,0.0001928029,0.04561207,0.00004433905,0.000006375094,0.7745274,0.001811746],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.2147651,0.7832603,0.00001169723,0.000008950748,0.0003204891,0.001213399,0.0001726842,0.0000388019,0.000208618],"genre_scores_gemma":[0.3588158,0.6386197,0.0002046286,0.000009534884,0.0001952088,0.000034641,0.002017716,0.0000683771,0.00003443417],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.7863056,"threshold_uncertainty_score":0.9997891,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09218366801745587,"score_gpt":0.3000141684306824,"score_spread":0.2078305004132265,"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."}}