{"id":"W4407853806","doi":"10.1016/j.ejso.2025.109723","title":"Dynamic ALBI score and FIB-4 index trends to predict complications after resection of hepatocellular carcinoma: A K-means clustering approach","year":2025,"lang":"en","type":"article","venue":"European Journal of Surgical Oncology","topic":"Hepatocellular Carcinoma Treatment and Prognosis","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Hepatocellular carcinoma; Resection; Internal medicine; Index (typography); Medicine; Cluster analysis; Gastroenterology; Oncology; Cardiology; Surgery; Computer science; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001623915,0.0007145318,0.001209734,0.003023989,0.0009334112,0.001940466,0.001160328,0.0007568024,0.00105394],"category_scores_gemma":[0.003095796,0.000284375,0.002046438,0.001772408,0.0003393675,0.0005926137,0.0007259111,0.0009001298,0.0006352836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009092084,"about_ca_system_score_gemma":0.001318478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01393952,"about_ca_topic_score_gemma":0.01267604,"domain_scores_codex":[0.9992398,0.0001377803,0.0001018031,0.0002562602,0.0001497696,0.0001146376],"domain_scores_gemma":[0.9989538,0.0002951672,0.0001635404,0.0001132215,0.0003740357,0.0001002037],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002302573,0.0006800354,0.7738395,0.0002678201,0.001891009,0.0003357698,0.0008392737,0.03254095,0.005431292,0.0007653518,0.00558497,0.1755214],"study_design_scores_gemma":[0.00009513754,0.00057379,0.5646786,0.0001438975,0.001054659,0.0008269268,0.001805478,0.4215314,0.002940546,0.003338703,0.002819384,0.0001914887],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9528797,0.001588601,0.04065759,0.0004418349,0.0001300034,0.0002967975,0.001874834,0.000426748,0.001703942],"genre_scores_gemma":[0.9775007,0.0002871549,0.01909774,0.00004269772,0.00004373312,0.0001278993,0.002106102,0.00004918558,0.0007448914],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01393952,"threshold_uncertainty_score":0.02771676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0431299361992405,"score_gpt":0.2793103116545525,"score_spread":0.236180375455312,"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."}}