{"id":"W2078860719","doi":"10.1161/strokeaha.114.006536","title":"Secular Trends in Ischemic Stroke Subtypes and Stroke Risk Factors","year":2014,"lang":"en","type":"article","venue":"Stroke","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":147,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Medicine; Stroke (engine); Cardiology; Internal medicine; Embolism; Ischemic stroke; Population; Vascular disease; Disease; Risk factor; Ischemia","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":[0.001294033,0.0001854385,0.0002939031,0.001298076,0.0002706045,0.0004832236,0.0003775771,0.0003575379,0.0025455],"category_scores_gemma":[0.003178844,0.0001630662,0.0004924402,0.001696024,0.0002386054,0.000522826,0.0003064826,0.0004294456,0.0004245336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005329413,"about_ca_system_score_gemma":0.0007827485,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01303864,"about_ca_topic_score_gemma":0.01708649,"domain_scores_codex":[0.9994807,0.0001163162,0.00008979318,0.0001308855,0.00007694567,0.0001052961],"domain_scores_gemma":[0.9958412,0.0006993322,0.001858253,0.0003300672,0.0009222188,0.0003489683],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003236582,0.000007161716,0.9980316,0.000009455475,0.00003138981,0.000009829673,0.00003802523,0.00006334098,0.00008368037,0.00006577456,0.0001610574,0.001466306],"study_design_scores_gemma":[0.000001938823,0.0000239205,0.9991014,0.000005941811,0.00001486474,0.0000622932,0.00008140146,0.0003910004,0.00005924573,0.00003153074,0.0002249239,0.000001591586],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937947,0.001065015,0.0003797805,0.0004401823,0.00002028837,0.00001504802,0.002521387,0.00002893751,0.001734684],"genre_scores_gemma":[0.9967846,0.000387101,0.0002315044,0.00005540849,0.00002012411,0.00001250149,0.002198395,0.000005833361,0.0003046477],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01303864,"threshold_uncertainty_score":0.02592546,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009119995734917776,"score_gpt":0.242838344232876,"score_spread":0.2337183484979582,"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."}}