{"id":"W4409986468","doi":"10.1016/s1470-2045(25)00212-8","title":"Meta-analysis on SBRT and ablation for localised RCC – Authors' reply","year":2025,"lang":"en","type":"letter","venue":"The Lancet Oncology","topic":"Advanced X-ray and CT Imaging","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto","funders":"","keywords":"Ablation; Medicine; Internal medicine","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":[0.01576425,0.0009848736,0.003778733,0.001540381,0.001997732,0.003498714,0.002225906,0.03206642,0.008342221],"category_scores_gemma":[0.1054771,0.001138064,0.003053407,0.001648428,0.002160831,0.002599128,0.00211293,0.02417367,0.004744787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003387355,"about_ca_system_score_gemma":0.005264372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006076013,"about_ca_topic_score_gemma":0.0111904,"domain_scores_codex":[0.9886811,0.005896223,0.001817758,0.001120838,0.001832301,0.0006518558],"domain_scores_gemma":[0.9088623,0.0743205,0.00480844,0.001963467,0.007217948,0.00282741],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002513689,0.00001025181,0.0006718364,0.0004288585,0.000289472,0.0002438922,0.00007299251,0.0000691887,0.0000503287,0.0004870362,0.9920321,0.005392753],"study_design_scores_gemma":[0.002971187,0.0002612878,0.003811999,0.003436464,0.002529481,0.001264649,0.0004960791,0.0008085606,0.0004753024,0.01521659,0.9684863,0.0002421323],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0002441133,0.004437376,0.00009290333,0.9489504,0.04523616,0.00001850046,0.0004100818,0.0000186338,0.0005918904],"genre_scores_gemma":[0.002277743,0.001655781,0.0001507053,0.9333852,0.06056546,0.00008122501,0.0000937655,0.00002712319,0.001762992],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.03206642,"threshold_uncertainty_score":0.08337033,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09482312639389179,"score_gpt":0.3358199862452695,"score_spread":0.2409968598513778,"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."}}