{"id":"W4319008711","doi":"10.1161/str.54.suppl_1.33","title":"Abstract 33: Risk Scores And Brain Mri Markers In Distinguishing Ischemic Stroke And Intracerebral Hemorrhage Risk Among Atrial Fibrillation Patients: The Neuro-Afib Study","year":2023,"lang":"en","type":"article","venue":"Stroke","topic":"Intracerebral and Subarachnoid Hemorrhage Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Medicine; Atrial fibrillation; Intracerebral hemorrhage; Internal medicine; Leukoaraiosis; Stroke (engine); Cardiology; Cohort; Cerebral amyloid angiopathy; Subarachnoid hemorrhage; Disease; Dementia","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":[0.002044594,0.000673782,0.0006208923,0.0008957923,0.000483515,0.00117084,0.000559187,0.0007777839,0.001157108],"category_scores_gemma":[0.004434738,0.0003830668,0.000812674,0.001256447,0.000304928,0.0007624661,0.000715346,0.0007885637,0.0004408182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002672817,"about_ca_system_score_gemma":0.0005286967,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004086672,"about_ca_topic_score_gemma":0.003862481,"domain_scores_codex":[0.9991424,0.0003529513,0.0001241611,0.0001399668,0.0001534289,0.00008714441],"domain_scores_gemma":[0.9976197,0.0003871651,0.001057353,0.0001920902,0.0002302915,0.0005134729],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001071076,0.00007675068,0.9975298,0.00001246594,0.0001640776,0.00002871713,0.00003115235,0.00003712709,0.00005561235,0.00001065756,0.0001324946,0.000850083],"study_design_scores_gemma":[0.0001962626,0.0005205831,0.998336,0.00001217855,0.0001398677,0.0001960146,0.00008110439,0.0002400865,0.00003525839,0.0000395148,0.0001962847,0.000006942742],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979345,0.000431935,0.00008634952,0.00009438363,0.00001466612,0.00003376833,0.0008486483,0.000003874647,0.0005519085],"genre_scores_gemma":[0.9979339,0.0001691607,0.0002034271,0.00007245078,0.00005028896,0.00005624797,0.001353449,0.00000327428,0.0001578199],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004086672,"threshold_uncertainty_score":0.01081294,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01052614722391926,"score_gpt":0.2645800201409382,"score_spread":0.2540538729170189,"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."}}