{"id":"W4413786634","doi":"10.1016/j.jvs.2025.08.028","title":"Characteristics of multidisciplinary limb preservation teams and their impact on outcomes in the BEST-CLI trial","year":2025,"lang":"en","type":"article","venue":"Journal of Vascular Surgery","topic":"Peripheral Artery Disease Management","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"London Health Sciences Centre; Western University","funders":"Society for Vascular Surgery; National Heart, Lung, and Blood Institute; Cordis; Boston Scientific Corporation; Novo Nordisk Fonden; Abbott Laboratories; W. L. Gore and Associates; BD; NoVo Foundation; Society of Interventional Radiology; Cardiovascular Systems; Canadian Society for Vascular Surgery; Cook Medical; Janssen Research and Development; National Institutes of Health; Medtronic","keywords":"Medicine; Multidisciplinary approach; Physical therapy; Physical medicine and rehabilitation","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001349754,0.0001269187,0.0005792721,0.0003005626,0.00003336073,0.00002052108,0.00009030978,0.00004256767,0.00001363334],"category_scores_gemma":[0.0003928549,0.00006148133,0.0004943314,0.0001783488,0.00003579955,0.0001248271,0.00003335933,0.0001790895,7.636837e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006213505,"about_ca_system_score_gemma":0.000157059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002076211,"about_ca_topic_score_gemma":0.000002785712,"domain_scores_codex":[0.998706,0.0001815264,0.0006109217,0.00008959245,0.0002917915,0.0001201736],"domain_scores_gemma":[0.9987641,0.0005648196,0.000288172,0.0002426667,0.0000898308,0.00005039872],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01128431,0.001920116,0.9719854,0.0002103073,0.0007304614,0.00009773506,0.0005388515,0.00003671812,0.0003292771,0.00002063145,0.0006881348,0.01215806],"study_design_scores_gemma":[0.005278708,0.0005766626,0.9923456,0.0003908322,0.0001687796,0.000007428493,0.0003652353,0.0002217528,0.00004951549,0.00008778088,0.000455254,0.00005250213],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972289,0.0003350567,0.00005381241,0.00165465,0.0002540489,0.0003441053,0.000005726482,0.000003180375,0.0001205188],"genre_scores_gemma":[0.9990793,0.0004625624,0.00002376201,0.0002370283,0.0001112395,0.000006116414,0.000005791781,0.000006901315,0.00006726447],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02036015,"threshold_uncertainty_score":0.2507136,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02352303965786787,"score_gpt":0.3097802204324441,"score_spread":0.2862571807745763,"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."}}