{"id":"W4321164691","doi":"10.1161/strokeaha.122.041701","title":"A Genomic Risk Score Identifies Individuals at High Risk for Intracerebral Hemorrhage","year":2023,"lang":"en","type":"article","venue":"Stroke","topic":"Intracerebral and Subarachnoid Hemorrhage Research","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cegep de Saint Hyacinthe","funders":"National Institute on Minority Health and Health Disparities; National Center for Advancing Translational Sciences; National Heart, Lung, and Blood Institute; National Institute on Aging; National Institutes of Health; Ludwig-Maximilians-Universität München; Deutsche Forschungsgemeinschaft; University of Cincinnati; School of Medicine, Boston University; Broad Institute; Wake Forest University; National Institute of Neurological Disorders and Stroke; Massachusetts General Hospital; College of Medicine, University of Cincinnati; Brigham and Women's Hospital; Yale University; Invitae; Bayer; University of South Carolina; American Heart Association","keywords":"Medicine; Intracerebral hemorrhage; Stroke (engine); Stroke risk; Internal medicine; Risk assessment; Ischemic stroke; Subarachnoid hemorrhage; 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":[0.00178336,0.0009488879,0.0008338637,0.002581601,0.0003014699,0.001122364,0.0006516438,0.0008848676,0.00227364],"category_scores_gemma":[0.007839998,0.0002440515,0.001360206,0.002357436,0.0004117048,0.0004685368,0.0008744202,0.0007844223,0.0003374136],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000308669,"about_ca_system_score_gemma":0.0003249156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001686238,"about_ca_topic_score_gemma":0.002046561,"domain_scores_codex":[0.9990023,0.0003806547,0.0001005109,0.0003022101,0.0001460791,0.00006826969],"domain_scores_gemma":[0.9965958,0.001418079,0.00116723,0.0003632856,0.0002777349,0.0001778105],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008450244,0.00005312315,0.9766223,0.00009991749,0.003010811,0.0002034819,0.00005071062,0.002400524,0.001684958,0.0002137061,0.001048759,0.01376665],"study_design_scores_gemma":[0.0001909404,0.0004665257,0.971118,0.0001145536,0.004108421,0.001534141,0.0001135503,0.0164408,0.001389837,0.002851303,0.001615686,0.00005615984],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9885997,0.002312235,0.004880934,0.0004631058,0.00004988913,0.00002517792,0.002588582,0.0001682234,0.0009122526],"genre_scores_gemma":[0.9952908,0.0003132178,0.002817104,0.00006762327,0.00004075574,0.00001190041,0.001349682,0.00001533305,0.00009361435],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002581601,"threshold_uncertainty_score":0.009431422,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02313573226877922,"score_gpt":0.2866753456661473,"score_spread":0.2635396133973681,"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."}}