{"id":"W2223194836","doi":"10.1161/str.44.suppl_1.awp193","title":"Abstract WP193: Secular Trends in Ischemic Stroke Subtypes","year":2013,"lang":"en","type":"article","venue":"Stroke","topic":"Cerebrovascular and Carotid Artery Diseases","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Robarts Clinical Trials","funders":"","keywords":"Medicine; Atrial fibrillation; Stroke (engine); Internal medicine; Ischemic stroke; Cardiology; Hyperlipidemia; Population; Disease; Secular variation; Diabetes mellitus; Pediatrics; Ischemia; Demography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.00060268,0.0002045637,0.0002779647,0.002010751,0.000318193,0.0008394268,0.0006056239,0.0004501266,0.004601779],"category_scores_gemma":[0.00236532,0.0001705721,0.0005574426,0.005216611,0.000218094,0.0006769923,0.0005127618,0.0004656838,0.001490633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000662305,"about_ca_system_score_gemma":0.0008317469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06908043,"about_ca_topic_score_gemma":0.06222704,"domain_scores_codex":[0.9994869,0.00006618955,0.00008675679,0.0001461993,0.0001184526,0.0000954686],"domain_scores_gemma":[0.997021,0.0002515912,0.00145309,0.0001682987,0.0007852942,0.0003206392],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004689949,0.000004091877,0.9958895,0.00002189344,0.00004024873,0.00002954243,0.00004667826,0.00002603359,0.00007465854,0.00003422632,0.001181278,0.002605068],"study_design_scores_gemma":[0.000001259392,0.000006051881,0.9994024,0.000007629392,0.000007247334,0.00005362731,0.000063452,0.00004886847,0.00001797488,0.00001247577,0.0003777318,0.000001250476],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9487765,0.003451338,0.0002392094,0.001004241,0.0000578656,0.00002236339,0.04098231,0.00006035381,0.005405759],"genre_scores_gemma":[0.9804996,0.001241059,0.0001856457,0.0001301969,0.00008277802,0.00002636883,0.01628108,0.00002315982,0.001530202],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06908043,"threshold_uncertainty_score":0.1373566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008116301314338988,"score_gpt":0.2383666739202707,"score_spread":0.2302503726059318,"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."}}