{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001923452,0.0003433823,0.0004847289,0.0001734475,0.00004959485,0.00007730298,0.0001412581,0.0001002966,0.0002510607],"category_scores_gemma":[0.00006573421,0.0002807455,0.00008327103,0.0001697715,0.00008956217,0.0000388418,0.0004748112,0.0003695885,0.0000444671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001011161,"about_ca_system_score_gemma":0.0001543673,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003296198,"about_ca_topic_score_gemma":0.000239505,"domain_scores_codex":[0.998249,0.00007701884,0.0002405528,0.0006930845,0.0002637353,0.0004766187],"domain_scores_gemma":[0.9989209,0.00002139698,0.00006934475,0.00054731,0.00004245006,0.0003986391],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006421488,0.0002574021,0.995099,0.001017714,0.0001647339,0.0008056514,0.0006743384,0.00005888814,0.0002740853,0.0000286944,0.0007487365,0.0002286236],"study_design_scores_gemma":[0.001715668,0.0001528091,0.9898856,0.0006757893,0.0002642357,0.000001190432,0.0001406647,0.003107669,0.000008034952,0.0001570653,0.003561793,0.0003295388],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954014,0.0003899155,0.00001904004,0.00227374,0.0005108726,0.0008230279,0.0001060243,0.00019506,0.0002809093],"genre_scores_gemma":[0.9960335,0.00008259209,0.0002083776,0.0006130653,0.0003480426,0.0002107554,0.0002685043,0.00007951257,0.002155618],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005213441,"threshold_uncertainty_score":0.9999645,"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."}}