{"id":"W4414223005","doi":"10.1016/j.jvs.2025.06.037","title":"Reply","year":2025,"lang":"en","type":"letter","venue":"Journal of Vascular Surgery","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"St. Michael's Hospital; University Health Network; Toronto Rehabilitation Institute; University of Toronto","funders":"","keywords":"Vascular surgery; Multidisciplinary approach; Amputation; Vascular disease; Clinical Practice; MEDLINE","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.005698481,0.001091936,0.002133877,0.001527351,0.007704726,0.009556795,0.002946181,0.117744,0.01426316],"category_scores_gemma":[0.03917468,0.001559652,0.00200812,0.001077595,0.004789159,0.00487816,0.003996569,0.07018462,0.01332569],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006197575,"about_ca_system_score_gemma":0.01003992,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01660284,"about_ca_topic_score_gemma":0.02803388,"domain_scores_codex":[0.9940991,0.001038055,0.000640209,0.001020522,0.001727264,0.001474952],"domain_scores_gemma":[0.9846106,0.006690363,0.001148643,0.000521324,0.003011171,0.004017889],"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":[0.00002430091,0.00001150164,0.0004485775,0.00002889221,0.00001694871,0.0006809482,0.0001172211,0.00003313416,0.00007605235,0.001355385,0.9943867,0.002820369],"study_design_scores_gemma":[0.00007985556,0.00003891664,0.001430803,0.0003071048,0.00004607708,0.001021884,0.0006852648,0.0002914878,0.0001690494,0.007199229,0.9886253,0.0001049214],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"editorial","genre_scores_codex":[0.0002033495,0.0007810918,0.00007477216,0.969902,0.02649551,0.00001451109,0.00005603525,0.00002655547,0.002446083],"genre_scores_gemma":[0.0009463581,0.0002500409,0.0000821803,0.9767841,0.01507422,0.00002478445,0.00001775596,0.00001231869,0.006808238],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.9857368,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01305202376079641,"score_gpt":0.271291072081625,"score_spread":0.2582390483208286,"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."}}