{"id":"W2796885144","doi":"10.1148/radiol.2018171678","title":"LI-RADS for MR Imaging Diagnosis of Hepatocellular Carcinoma: Performance of Major and Ancillary Features","year":2018,"lang":"en","type":"article","venue":"Radiology","topic":"Hepatocellular Carcinoma Treatment and Prognosis","field":"Medicine","cited_by":148,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Centre Hospitalier de l’Université de Montréal","funders":"Fonds de Recherche du Québec - Santé; Université de Montréal","keywords":"Medicine; Hepatocellular carcinoma; Radiology; BI-RADS; Carcinoma; Magnetic resonance imaging; Pathology; Mammography; Cancer; Internal medicine; Breast cancer","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0002217091,0.000171083,0.0005411794,0.0001450214,0.00006656151,0.000003049598,0.00007664416,0.0001246309,0.00003751146],"category_scores_gemma":[0.00007255454,0.0001413825,0.0001285583,0.0001220433,0.0003868487,0.00004938887,0.00003915137,0.00007926054,0.00000250977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002994808,"about_ca_system_score_gemma":0.00007012225,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006603292,"about_ca_topic_score_gemma":0.000003802641,"domain_scores_codex":[0.9990005,0.0000492602,0.0002987671,0.0002753841,0.00009595324,0.0002801236],"domain_scores_gemma":[0.9992039,0.0001363473,0.0001292043,0.0002639272,0.0001705659,0.00009605582],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003555634,0.00007749999,0.9821717,0.0004196379,0.0001033944,0.00002798041,0.0003216566,5.210669e-8,0.01104013,0.0001407286,0.001044189,0.00429746],"study_design_scores_gemma":[0.002935242,0.002743004,0.7055111,0.0001194654,0.0004898314,0.0004380201,0.00005939907,0.006347247,0.2785803,0.00007171342,0.002517379,0.0001872396],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9845595,0.01387919,0.00006113912,0.0004425542,0.0001369317,0.0006150075,0.00002905398,0.00002075858,0.0002558454],"genre_scores_gemma":[0.9974065,0.0004749558,0.001472815,0.0001267695,0.0002557711,0.0001087537,0.00004360285,0.00002448618,0.00008627558],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2766606,"threshold_uncertainty_score":0.5765411,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02684772654285399,"score_gpt":0.2438027655357692,"score_spread":0.2169550389929152,"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."}}