{"id":"W4388532627","doi":"10.1161/strokeaha.123.043194","title":"Antithrombotic and Statin Prescription After Intracerebral Hemorrhage in the Get With The Guidelines-Stroke Registry","year":2023,"lang":"en","type":"article","venue":"Stroke","topic":"Intracerebral and Subarachnoid Hemorrhage Research","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Daiichi Sankyo Europe; Genentech; National Institutes of Health; Eli Lilly and Company; AstraZeneca; CSL Behring; National Center for Advancing Translational Sciences; American Stroke Association; Alexion Pharmaceuticals; Biogen; National Heart, Lung, and Blood Institute; Pfizer; Amgen; Duke Clinical Research Institute; National Institute of Neurological Disorders and Stroke; Novo Nordisk; Belvoir Media Group; American Heart Association","keywords":"Medicine; Antithrombotic; Intracerebral hemorrhage; Atrial fibrillation; Stroke (engine); Medical prescription; Statin; Internal medicine; Cohort; Intensive care medicine; Subarachnoid hemorrhage; Pharmacology","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":[0.001159488,0.0002071688,0.0004762132,0.001008178,0.0003252116,0.0006006314,0.0005979232,0.0003824282,0.0008403987],"category_scores_gemma":[0.005334537,0.0002702892,0.0004343994,0.002750146,0.0002131246,0.0006258258,0.0007566451,0.0005127594,0.0002802185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004962306,"about_ca_system_score_gemma":0.0007871287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0284321,"about_ca_topic_score_gemma":0.04715369,"domain_scores_codex":[0.998385,0.0003912151,0.0003096852,0.0002705498,0.0004476823,0.0001959233],"domain_scores_gemma":[0.9947154,0.0005321598,0.003401752,0.0004145829,0.0005463275,0.0003897731],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005839994,0.00001789551,0.998941,0.000009812151,0.00003960407,0.00004166537,0.00003937183,0.00002585712,0.00003158403,0.00001122563,0.000409668,0.0003739072],"study_design_scores_gemma":[0.00001242351,0.00002855064,0.999405,0.000007409835,0.00002144845,0.000137144,0.00007354322,0.0001151265,0.00002520508,0.00001031075,0.0001611023,0.000002770475],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9913183,0.0001383693,0.0000906751,0.0001225036,0.000007765047,0.00003294037,0.007513181,0.000008315202,0.0007679089],"genre_scores_gemma":[0.9900983,0.0001543271,0.0001956136,0.0001074567,0.00001978171,0.00008489329,0.009142038,0.000005504241,0.0001920071],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0284321,"threshold_uncertainty_score":0.05653322,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0265545352677988,"score_gpt":0.3035218240072691,"score_spread":0.2769672887394703,"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."}}