{"id":"W4415559753","doi":"10.1016/j.jhep.2025.10.020","title":"BCLC strategy for prognosis prediction and treatment recommendations: The 2026 update","year":2025,"lang":"en","type":"review","venue":"Journal of Hepatology","topic":"Hepatocellular Carcinoma Treatment and Prognosis","field":"Medicine","cited_by":89,"is_retracted":false,"has_abstract":false,"ca_institutions":"Princess Margaret Cancer Centre","funders":"Instituto de Salud Carlos III; Center for International Business Education and Research, University of Illinois at Urbana-Champaign; Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas; Centro de Investigación Biomédica en Red de Cáncer; Fundación Científica Asociación Española Contra el Cáncer; Compass Therapeutics; Societat Catalana de Digestologia; Bayer; American Institute for Cancer Research","keywords":"Stage (stratigraphy); Disease; Process (computing); Affect (linguistics); Quality of life (healthcare); Radiation treatment planning","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":[0.004434782,0.001220641,0.003315089,0.005009579,0.0004099764,0.002710374,0.002263536,0.002642059,0.006551978],"category_scores_gemma":[0.01232199,0.0005081347,0.002282851,0.004325557,0.0006524091,0.002483491,0.001509357,0.003783484,0.003656449],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003638753,"about_ca_system_score_gemma":0.007107919,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007698379,"about_ca_topic_score_gemma":0.01172787,"domain_scores_codex":[0.9987771,0.0003414372,0.0003388157,0.0001275419,0.0003251374,0.0000899638],"domain_scores_gemma":[0.9933847,0.002995343,0.001048552,0.0001209916,0.002093458,0.00035703],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001762955,0.00005004942,0.001056325,0.01744704,0.0004576095,0.0001045259,0.00004489346,0.000603559,0.0001188768,0.003439709,0.161464,0.8150372],"study_design_scores_gemma":[0.0001801101,0.0001223139,0.004005292,0.06421193,0.002219725,0.0008300702,0.00009424164,0.0006648118,0.0001508456,0.003954741,0.9234838,0.00008211229],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001260102,0.9903508,0.0004399783,0.006225457,0.001029766,0.00001722667,0.0003824377,0.00003623655,0.001391995],"genre_scores_gemma":[0.001706783,0.9894403,0.001530799,0.004084189,0.001559791,0.00004888321,0.0009569965,0.00001373035,0.0006586257],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.007698379,"threshold_uncertainty_score":0.02640116,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1766386182208151,"score_gpt":0.3748435133210589,"score_spread":0.1982048951002438,"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."}}