{"id":"W2981973082","doi":"10.1016/j.cjca.2019.10.021","title":"Complex Evolution of Epidemiology of Vascular Diseases, Including Increased Disease Burden: From 2000 to 2015","year":2019,"lang":"en","type":"article","venue":"Canadian Journal of Cardiology","topic":"Peripheral Artery Disease Management","field":"Medicine","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; McGill University Health Centre; Université Laval; Institut National de Santé Publique du Québec","funders":"Bayer Canada","keywords":"Medicine; Epidemiology; Incidence (geometry); Mortality rate; Vascular disease; Population; Confidence interval; Disease; Coronary artery disease; Internal medicine; Rate ratio; Standardized rate; Epidemiological transition; Cardiology; Environmental health","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005979555,0.0001710467,0.001240095,0.0004959776,0.00003438334,0.0000023067,0.0002560945,0.00008683256,0.0004461397],"category_scores_gemma":[0.0009136731,0.0001554439,0.000462393,0.0001983688,0.0001825927,0.00007004141,0.00005069951,0.0001549078,0.00003324145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007201316,"about_ca_system_score_gemma":0.001994815,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009414346,"about_ca_topic_score_gemma":0.0003754541,"domain_scores_codex":[0.9978333,0.0005209593,0.0008142917,0.0002362713,0.0001962062,0.0003989395],"domain_scores_gemma":[0.9967558,0.0001969894,0.0003742615,0.0004892863,0.0003555904,0.001828055],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005910156,0.00001150898,0.9655787,0.0001125655,0.0007815754,0.0001619633,0.00007995354,0.01120968,0.001390254,0.0002945748,0.01889092,0.0008972449],"study_design_scores_gemma":[0.001477897,0.0003501689,0.934079,0.0001867467,0.0006378111,0.00001942664,0.0001370139,0.0003690585,0.000005649068,0.0008120065,0.06180214,0.0001230824],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9858157,0.006677578,0.002761925,0.002639223,0.0004404886,0.0004288933,0.000458531,0.000006399453,0.0007712278],"genre_scores_gemma":[0.9980454,0.0000364081,0.0004636797,0.0006336803,0.0006615422,0.000004928495,0.00009648109,0.00001846026,0.00003936233],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04291122,"threshold_uncertainty_score":0.9971821,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02893810807039723,"score_gpt":0.2820398528106989,"score_spread":0.2531017447403017,"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."}}