{"id":"W2413073906","doi":"10.1016/j.jstrokecerebrovasdis.2016.04.028","title":"Design and Rationale for a Cognitive Outcome Substudy in Ischemic Stroke Patients with High Risk of Cerebral Hemorrhage","year":2016,"lang":"en","type":"article","venue":"Journal of Stroke and Cerebrovascular Diseases","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Medicine; Stroke (engine); Dementia; Population; Cognition; Intracerebral hemorrhage; Cognitive decline; Internal medicine; Physical therapy; Montreal Cognitive Assessment; Cardiology; Psychiatry; Subarachnoid hemorrhage; Disease","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.05687157,0.003804753,0.005622987,0.003226984,0.00697315,0.003861478,0.002077192,0.005383852,0.007562783],"category_scores_gemma":[0.04496237,0.003355937,0.004993987,0.002773477,0.003842524,0.002237356,0.00327069,0.003387838,0.002097124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004116228,"about_ca_system_score_gemma":0.01135185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005807932,"about_ca_topic_score_gemma":0.01042952,"domain_scores_codex":[0.9336755,0.04578268,0.00905957,0.003758587,0.004017178,0.003706435],"domain_scores_gemma":[0.9813098,0.006720257,0.002729982,0.002277705,0.004803351,0.002158943],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.5925305,0.04545047,0.1794429,0.009038952,0.01067232,0.001438686,0.004872756,0.004258958,0.005051239,0.02071628,0.02121491,0.1053121],"study_design_scores_gemma":[0.577152,0.1509968,0.1665623,0.003357741,0.009490675,0.000708204,0.001796878,0.01066731,0.003452044,0.01641936,0.05876002,0.0006366379],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.06601596,0.00142891,0.01058717,0.001771788,0.001493753,0.9123066,0.0032243,0.0000861083,0.003085488],"genre_scores_gemma":[0.07096256,0.0002732668,0.01557965,0.001982572,0.0006621283,0.9091169,0.0008145191,0.00001078634,0.0005976447],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.05687157,"threshold_uncertainty_score":0.3007693,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009547705703223242,"score_gpt":0.2238727684013876,"score_spread":0.2143250626981643,"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."}}