{"id":"W4410221646","doi":"10.1016/j.jhepr.2025.101451","title":"SBRT for bridging and downstaging HCC before transplant","year":2025,"lang":"en","type":"article","venue":"JHEP Reports","topic":"Hepatocellular Carcinoma Treatment and Prognosis","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Princess Margaret Cancer Centre; University Health Network","funders":"","keywords":"Bridging (networking); Medicine; Oncology; Computer science","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":[0.0001906722,0.0001151248,0.0002447648,0.000098773,0.0001019895,0.00002295193,0.00001654628,0.0000578096,0.0000206728],"category_scores_gemma":[0.0000252894,0.00009456275,0.000103709,0.00009134972,0.00002643041,0.00004543203,0.00001181798,0.00006326052,0.000001163262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000419949,"about_ca_system_score_gemma":0.00006871527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004052149,"about_ca_topic_score_gemma":0.00001069248,"domain_scores_codex":[0.9991944,0.000007535408,0.0002487425,0.0002648907,0.00009309885,0.0001913319],"domain_scores_gemma":[0.9996101,0.0000264452,0.00005471759,0.000191824,0.00003889936,0.0000779596],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004237354,0.00003827708,0.9617602,0.0002522915,0.00009811443,0.001383702,0.0002499165,1.052139e-7,0.0007652428,0.0001167702,0.000895559,0.03439748],"study_design_scores_gemma":[0.004662223,0.0007126623,0.6695009,0.001832085,0.002617118,0.004488602,0.0001994027,0.007050159,0.04948021,0.001908588,0.2569417,0.0006063473],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9868614,0.001022443,0.001586447,0.001532504,0.0001976876,0.000741224,0.000006220792,0.00008016155,0.007971911],"genre_scores_gemma":[0.9953339,0.00002884517,0.0008609616,0.0003026706,0.00008001705,0.00009158553,0.00008154548,0.00001274222,0.0032077],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2922593,"threshold_uncertainty_score":0.3856157,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02514606712019396,"score_gpt":0.2610319484260779,"score_spread":0.2358858813058839,"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."}}