{"id":"W4379376539","doi":"10.1101/2023.06.01.23290852","title":"Large and small peripheral arterial disease in persons with type 2 diabetes","year":2023,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Peripheral Artery Disease Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hamilton Health Sciences; McMaster University; Population Health Research Institute","funders":"","keywords":"Medicine; Type 2 diabetes; Cohort; Arterial disease; Diabetes mellitus; Incidence (geometry); Internal medicine; Risk factor; Surgery; Population; Cohort study; Blood pressure; Vascular disease; Endocrinology","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":[0.0002930463,0.0001932257,0.0002482218,0.0006365451,0.0002324855,0.0004916771,0.000180562,0.0002257786,0.00109107],"category_scores_gemma":[0.0009157761,0.0001528737,0.0003438812,0.001251419,0.0001357507,0.0002254735,0.0001957846,0.0003808,0.000121032],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001702507,"about_ca_system_score_gemma":0.0002408102,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008152604,"about_ca_topic_score_gemma":0.007318277,"domain_scores_codex":[0.9997504,0.00005505907,0.00002981669,0.00008057641,0.0000469683,0.00003717522],"domain_scores_gemma":[0.9994689,0.0000842681,0.0002534932,0.00002896313,0.00005919324,0.0001051911],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008555545,0.00002068543,0.998571,0.00001513913,0.00004816429,0.00005329064,0.00001895015,0.00002091432,0.00007269034,0.000009863325,0.00007647566,0.00100732],"study_design_scores_gemma":[0.0000048665,0.00004252069,0.9995248,0.000005148525,0.00002765893,0.000145194,0.00003722022,0.00005211692,0.00002073262,0.00001162233,0.000126997,0.000001085683],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996944,0.001067219,0.00008519005,0.00007021832,0.00001704371,0.00001039663,0.001135692,0.000004188453,0.000666176],"genre_scores_gemma":[0.9985667,0.0004063608,0.00007591413,0.00003248655,0.00003042675,0.000008665537,0.0007118247,0.000001042952,0.0001665277],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008152604,"threshold_uncertainty_score":0.01621032,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0254843075400168,"score_gpt":0.2576275047039125,"score_spread":0.2321431971638958,"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."}}