{"id":"W4367018619","doi":"10.1161/svin.03.suppl_1.171","title":"Abstract Number ‐ 171: Stroke location as predictor of bleeding after EVT for ischemic stroke in the anterior circulation","year":2023,"lang":"en","type":"article","venue":"Stroke Vascular and Interventional Neurology","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; Sunnybrook Health Science Centre","funders":"","keywords":"Medicine; Logistic regression; Stroke (engine); Univariate analysis; Mann–Whitney U test; Occlusion; Ischemic stroke; Exact test; Hematoma; Internal medicine; Stepwise regression; Univariate; Chi-square test; Cardiology; Surgery; Multivariate analysis; Multivariate statistics; Ischemia; Statistics","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":[0.0004732601,0.0003551483,0.0003709802,0.0009749574,0.0002956587,0.0006415741,0.0003448529,0.0003395704,0.01876077],"category_scores_gemma":[0.002149078,0.0001080502,0.0005574073,0.0009974755,0.0002352928,0.0004387558,0.000421686,0.0003962451,0.001914278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001385105,"about_ca_system_score_gemma":0.0003582284,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008734005,"about_ca_topic_score_gemma":0.0008790587,"domain_scores_codex":[0.9997115,0.00007770626,0.00005364676,0.00004807291,0.00005372161,0.00005535354],"domain_scores_gemma":[0.9984918,0.000414297,0.0006584212,0.00005006158,0.0001333647,0.000252114],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005330889,0.00004270913,0.994285,0.00006155611,0.00008144113,0.0002023999,0.00001399563,0.00007967938,0.0002192471,0.00002057148,0.0006221544,0.003838126],"study_design_scores_gemma":[0.00003433201,0.0002989226,0.9970367,0.00004125976,0.0001050697,0.001157475,0.00007249411,0.0004319318,0.0001271955,0.00008575521,0.0006001213,0.000008812112],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955834,0.0008310603,0.0002809946,0.0001762928,0.00006092823,0.00002685708,0.001895114,0.00001542331,0.001129966],"genre_scores_gemma":[0.9964192,0.0003160498,0.0003230153,0.00003275763,0.0001827518,0.00003612999,0.001811393,0.000007153952,0.0008715123],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01876077,"threshold_uncertainty_score":0.06276101,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01497432397446749,"score_gpt":0.2815150021643407,"score_spread":0.2665406781898732,"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."}}