{"id":"W3135216625","doi":"10.1111/dme.14552","title":"Predicting major adverse limb events in individuals with type 2 diabetes: Insights from the EXSCEL trial","year":2021,"lang":"en","type":"article","venue":"Diabetic Medicine","topic":"Diabetic Foot Ulcer Assessment and Management","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian VIGOUR Centre; University of Toronto; University of Alberta; St. Michael's Hospital","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; National Heart, Lung, and Blood Institute; National Institutes of Health; National Center for Advancing Translational Sciences; AstraZeneca","keywords":"Medicine; Type 2 diabetes; Internal medicine; Amputation; Diabetes mellitus; Gangrene; Adverse effect; Coronary artery disease; Cardiology; Surgery","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":[0.007524699,0.0008133666,0.001182635,0.0002912551,0.0001862265,0.001158107,0.0005312756,0.0004134337,0.001647015],"category_scores_gemma":[0.005794346,0.0001886116,0.001455542,0.000457653,0.0001741578,0.0005746687,0.0005661295,0.001042065,0.00019848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002598347,"about_ca_system_score_gemma":0.0003775235,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001345484,"about_ca_topic_score_gemma":0.002791719,"domain_scores_codex":[0.9978666,0.00168662,0.00009082973,0.0001433647,0.000139406,0.00007321275],"domain_scores_gemma":[0.995758,0.002609383,0.0007545113,0.000318956,0.0002188931,0.0003402862],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.03796119,0.00127265,0.9142583,0.0005176933,0.005957909,0.0001567107,0.0001331506,0.00661422,0.00038405,0.0004545882,0.003522259,0.02876729],"study_design_scores_gemma":[0.01480456,0.01005961,0.8844323,0.0003605605,0.009469019,0.0005029423,0.0004469129,0.07122865,0.0008117182,0.003646561,0.004093679,0.0001436425],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9918131,0.002482569,0.001056353,0.0007786221,0.00005092499,0.00009419751,0.00243605,0.00002452941,0.001263639],"genre_scores_gemma":[0.9934277,0.000808391,0.001139553,0.0003016358,0.0001455071,0.0001108341,0.003655636,0.000008446461,0.0004022447],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007524699,"threshold_uncertainty_score":0.03979486,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01976383645950947,"score_gpt":0.2718303644514327,"score_spread":0.2520665279919233,"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."}}