{"id":"W4316652572","doi":"10.1097/hep.0000000000000027","title":"Model to predict major complications following liver resection for HCC in patients with metabolic syndrome","year":2023,"lang":"en","type":"article","venue":"Hepatology","topic":"Liver Disease Diagnosis and Treatment","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto General Hospital; McMaster University","funders":"National Cancer Institute","keywords":"Medicine; Nomogram; Metabolic syndrome; Internal medicine; Hepatectomy; Logistic regression; Cohort; Risk factor; Surgery; Diabetes mellitus; Retrospective cohort study; Concordance; Resection; Obesity","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":[],"consensus_categories":[],"category_scores_codex":[0.00004934488,0.00009171383,0.0002610171,0.00022334,0.00006106346,0.000004830742,0.00004187741,0.00004855696,0.00001019032],"category_scores_gemma":[0.00003086019,0.00007402215,0.00006857633,0.000303605,0.00001344906,0.00004398575,0.00002658295,0.00004284893,0.00007751754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006238897,"about_ca_system_score_gemma":0.00005636627,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001005429,"about_ca_topic_score_gemma":0.0001928181,"domain_scores_codex":[0.9992563,0.00002040654,0.0001389459,0.0002513044,0.0001133675,0.0002196893],"domain_scores_gemma":[0.999552,0.00005208659,0.00002500604,0.0002008562,0.00005890945,0.0001111532],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002967006,0.0004142834,0.9971151,0.00003072752,0.0001575499,0.00006079173,0.0001204985,0.00009052271,0.000004357485,0.0005246066,0.0009427549,0.0002420557],"study_design_scores_gemma":[0.00325171,0.000594003,0.9763278,0.00004842025,0.00025686,0.000007815371,0.00001398902,0.01893955,0.00002518471,0.0001334497,0.0003302445,0.00007094096],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972109,0.00008625639,0.0002310687,0.000795062,0.00006697192,0.001333532,0.00007125847,0.00007177771,0.0001331274],"genre_scores_gemma":[0.9973145,0.00001662062,0.0006295194,0.0003362056,0.000009193986,0.001274846,0.0002931409,0.00001870556,0.0001072326],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02078732,"threshold_uncertainty_score":0.3018536,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03454701888322082,"score_gpt":0.2913038847954168,"score_spread":0.256756865912196,"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."}}