{"id":"W50978446","doi":"10.1161/str.44.suppl_1.a197","title":"Abstract 197: Do the CHADS <sub>2</sub> , CHA <sub>2</sub> DS <sub>2</sub> -VASc and HAS-BLED Scores Predict Recurrent Stroke and GI Bleeding in Patients with Acute Ischemic Stroke or TIA and Atrial Fibrillation?","year":2013,"lang":"en","type":"article","venue":"Stroke","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Clinical Evaluative Sciences; University of Toronto","funders":"","keywords":"Medicine; Stroke (engine); Atrial fibrillation; Antithrombotic; Internal medicine; Logistic regression; Ischemic stroke; Intracerebral hemorrhage; Pediatrics; Cardiology; Subarachnoid hemorrhage; Ischemia","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":[0.0004315682,0.0003037375,0.0003722148,0.0005788055,0.0002687853,0.000688549,0.0003657601,0.00036312,0.003422089],"category_scores_gemma":[0.002661166,0.0001558551,0.0003960617,0.0009500957,0.0002781036,0.0002949178,0.0002587018,0.00032069,0.0005587754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001810474,"about_ca_system_score_gemma":0.001741351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1404706,"about_ca_topic_score_gemma":0.2703344,"domain_scores_codex":[0.9997187,0.00004680406,0.00002898822,0.00003933051,0.00009197243,0.00007419669],"domain_scores_gemma":[0.9986386,0.0001508766,0.0004708714,0.0000412661,0.0003612773,0.000337144],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002060419,0.00001910114,0.9959526,0.00001674505,0.00003493119,0.00002133886,0.00002183577,0.00003180181,0.00003794118,0.00000900796,0.001684737,0.001963941],"study_design_scores_gemma":[0.00005472242,0.00005165365,0.9991165,0.00000778507,0.00002750149,0.00003445673,0.00005444361,0.0002579146,0.00002337046,0.00002296326,0.0003460327,0.000002701808],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9910615,0.0003714859,0.00008075834,0.0004794505,0.00002982473,0.00003931417,0.005632153,0.000007585694,0.002297897],"genre_scores_gemma":[0.9941047,0.0001544938,0.000107177,0.00008617678,0.00004808771,0.00002041298,0.00478632,0.000001927456,0.0006908183],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1404706,"threshold_uncertainty_score":0.279306,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01022620432318716,"score_gpt":0.2254216792431567,"score_spread":0.2151954749199695,"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."}}