{"id":"W2209936896","doi":"10.1111/liv.13043","title":"Computer‐aided diagnosis for estimating the malignancy grade of hepatocellular carcinoma using contrast‐enhanced ultrasound: an <scp>ROC</scp> observer study","year":2015,"lang":"en","type":"article","venue":"Liver International","topic":"Hepatocellular Carcinoma Treatment and Prognosis","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Medical Research and Materiel Command; Alberta Innovates - Health Solutions; Asahikawa Medical University; University of Chicago","keywords":"Receiver operating characteristic; Hepatocellular carcinoma; Medicine; Malignancy; CAD; Ultrasound; Radiology; Internal medicine; Area under the curve; Maximum intensity projection; Angiography; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01498216,0.0006025999,0.0004282903,0.001233348,0.0003240059,0.0007844663,0.000510246,0.0006411649,0.0006939915],"category_scores_gemma":[0.0331612,0.0002740217,0.000727271,0.0004051698,0.000656168,0.0009559195,0.0008171094,0.0004432424,0.0002996195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004089721,"about_ca_system_score_gemma":0.0003575128,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001101829,"about_ca_topic_score_gemma":0.001260327,"domain_scores_codex":[0.9916284,0.004760342,0.0007359453,0.001026098,0.001642075,0.0002071557],"domain_scores_gemma":[0.9680749,0.01947828,0.002036649,0.003120809,0.006611487,0.0006779162],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003020654,0.0005376035,0.8927121,0.0001594395,0.0008845445,0.0001824231,0.0006817324,0.002944977,0.0105208,0.0001587832,0.0004273129,0.08776972],"study_design_scores_gemma":[0.0002879062,0.008103678,0.8945275,0.00005417579,0.001019505,0.003088581,0.0005208281,0.07853377,0.01177041,0.0003365053,0.001609752,0.0001473783],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9838965,0.0004173016,0.01462717,0.00002403368,0.00002371977,0.00009948346,0.00005126897,0.00006720868,0.0007933169],"genre_scores_gemma":[0.9916896,0.00006916528,0.007941933,0.00001816534,0.00001897375,0.00004139089,0.0000998564,0.0000106006,0.000110326],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01498216,"threshold_uncertainty_score":0.07923418,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1447293573576637,"score_gpt":0.3061736290680204,"score_spread":0.1614442717103567,"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."}}