{"id":"W4400035659","doi":"10.17615/ddy9-8209","title":"Predicting major adverse limb events in individuals with type 2 diabetes: Insights from the EXSCEL trial","year":2024,"lang":"en","type":"article","venue":"UNC Libraries","topic":"Lipoproteins and Cardiovascular Health","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Heart, Lung, and Blood Institute; American Regent; Agency for Healthcare Research and Quality; Regeneron Pharmaceuticals; National Institutes of Health; GlaxoSmithKline; HLS Therapeutics; Daiichi Sankyo Europe; Servier; Novo Nordisk; Verily Life Sciences; Duke Clinical Research Institute; MannKind Corporation; Zafgen; Boston Scientific Corporation; Pfizer; York University; Eli Lilly and Company; Bristol-Myers Squibb; AstraZeneca; CSL Behring; Heart and Stroke Foundation of Canada; Esperion Therapeutics; University of Toronto; Amylin Pharmaceuticals; Amgen; Sanofi; American Heart Association","keywords":"Type 2 diabetes; Adverse effect; Medicine; Physical medicine and rehabilitation; Diabetes mellitus; Internal medicine; Endocrinology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008563552,0.0008787405,0.001184125,0.0002976076,0.0001845356,0.001077967,0.0005860734,0.0004421127,0.001449347],"category_scores_gemma":[0.006471125,0.0001978979,0.001379029,0.0004603053,0.0001880608,0.0006014583,0.0006195732,0.001065972,0.0001905959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002513588,"about_ca_system_score_gemma":0.000394278,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001245809,"about_ca_topic_score_gemma":0.00264603,"domain_scores_codex":[0.9978665,0.001687085,0.00009065094,0.0001303762,0.0001487386,0.00007673501],"domain_scores_gemma":[0.9958019,0.00261868,0.0007390085,0.0003145652,0.0001930764,0.0003329297],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0455838,0.001600625,0.8976218,0.0006147336,0.006296586,0.0001763438,0.000170872,0.007563665,0.000398091,0.0004806621,0.00356538,0.03592737],"study_design_scores_gemma":[0.0193442,0.01322253,0.8765075,0.0004638208,0.01017158,0.0006094109,0.0004528893,0.07004242,0.0007725342,0.003797917,0.004472277,0.0001429342],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921649,0.002690224,0.000959043,0.0007917902,0.00004892203,0.0001059398,0.002031293,0.00002483365,0.001182978],"genre_scores_gemma":[0.9921037,0.001164334,0.001421986,0.0003439178,0.0001602129,0.0001497967,0.004198172,0.00001034118,0.0004474062],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008563552,"threshold_uncertainty_score":0.04528892,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01534057043334486,"score_gpt":0.2312488086243862,"score_spread":0.2159082381910413,"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."}}