{"id":"W3124828277","doi":"10.1161/str.51.suppl_1.wp421","title":"Abstract WP421: Optimization of Risk Stratification for Anticoagulation-Associated Intracerebral Hemorrhage","year":2020,"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":"Population Health Research Institute","funders":"","keywords":"Medicine; Intracerebral hemorrhage; Vitamin K antagonist; Stroke (engine); Internal medicine; Cohort; Ischemic stroke; Anticoagulant; Warfarin; Cardiology; Atrial fibrillation; Ischemia; Subarachnoid hemorrhage","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":[0.002689934,0.001066073,0.001005237,0.001246137,0.0003213284,0.00161718,0.0006056585,0.0004630761,0.003880184],"category_scores_gemma":[0.008815908,0.0002326382,0.0006968247,0.0009683435,0.0002341345,0.0006455806,0.0009983738,0.0006623763,0.001036823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003363132,"about_ca_system_score_gemma":0.000734513,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000943996,"about_ca_topic_score_gemma":0.0008265029,"domain_scores_codex":[0.9986872,0.0006553639,0.0001595234,0.000172247,0.0002549128,0.00007080522],"domain_scores_gemma":[0.9983838,0.0004462532,0.0005825912,0.0001208261,0.000262109,0.0002045534],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00587582,0.0002918703,0.7751935,0.0004071636,0.001205546,0.0003014492,0.0001316309,0.006824917,0.002537661,0.0006475177,0.00902011,0.1975629],"study_design_scores_gemma":[0.0009694363,0.003629539,0.8751875,0.0003544943,0.001606056,0.00168996,0.0003153703,0.0967985,0.004177251,0.006194829,0.0089616,0.00011548],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.962525,0.003897319,0.01986747,0.001572918,0.0001972364,0.0004959837,0.004027409,0.0003281183,0.007088629],"genre_scores_gemma":[0.9856724,0.0006465469,0.009714255,0.0001614997,0.0001835464,0.0002023942,0.002413778,0.00004174657,0.0009638415],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003880184,"threshold_uncertainty_score":0.01422584,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02825724356255606,"score_gpt":0.2892787176581858,"score_spread":0.2610214740956298,"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."}}