{"id":"W4231243805","doi":"10.1158/1538-7445.sabcs18-2411","title":"Abstract 2411: A multidisciplinary approach for HCC risk prediction in patients with cirrhosis utilizing elastography, imaging, circulating tumor cells and genomics","year":2019,"lang":"en","type":"article","venue":"Epidemiology","topic":"Liver Disease Diagnosis and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Transient elastography; Internal medicine; Cirrhosis; Cohort; Liver disease; Hepatocellular carcinoma; Gastroenterology; Liver cancer; Liver fibrosis","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005227143,0.0001887757,0.0005349044,0.0001510133,0.0000780927,0.000005141354,0.00004237255,0.00006847241,0.00001554377],"category_scores_gemma":[0.000124396,0.0001506103,0.0001138949,0.00008545227,0.00007069714,0.00007968192,0.00004246985,0.000165557,0.000005409284],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001006034,"about_ca_system_score_gemma":0.00003503326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001858607,"about_ca_topic_score_gemma":0.000004774038,"domain_scores_codex":[0.9985144,0.0001017284,0.0004243856,0.0005355671,0.00006985148,0.0003541185],"domain_scores_gemma":[0.9986569,0.00065852,0.0002625403,0.0002332044,0.00005169931,0.0001370785],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003596488,0.000587932,0.9954686,0.0001727932,0.0001340636,0.000003887335,0.0002459186,0.0005682217,0.00008357296,0.00001919141,0.0000657734,0.002290426],"study_design_scores_gemma":[0.004443672,0.0004163517,0.9785154,0.0001027027,0.0002053986,0.000004228068,0.0002584859,0.01576777,0.00002378224,0.000105638,0.00003211455,0.0001245007],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969183,0.0005190099,0.000307219,0.00006398442,0.00009497413,0.001603825,0.0001930775,0.00003330677,0.0002663664],"genre_scores_gemma":[0.9894595,0.00005523894,0.009753299,0.0001444457,0.0000522252,0.0001972047,0.0003055836,0.00002850435,0.000004005395],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01695321,"threshold_uncertainty_score":0.6141711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01656333447697634,"score_gpt":0.2592879684497772,"score_spread":0.2427246339728009,"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."}}