{"id":"W2913640927","doi":"10.1161/str.50.suppl_1.wp52","title":"Abstract WP52: There is No Association Between the Number of Stent Retriever Passes & the Incidence of Hemorrhagic Transformation for Patients Undergoing Mechanical Thrombectomy","year":2019,"lang":"en","type":"article","venue":"Stroke","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Incidence (geometry); Stent; Stroke (engine); Univariate analysis; Labrador Retriever; Surgery; Internal medicine; Multivariate analysis","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005627177,0.00009715097,0.0002326314,0.000682483,0.0001655205,0.0005398294,0.0002859323,0.0002568328,0.007253188],"category_scores_gemma":[0.006557437,0.00008487528,0.0003422664,0.001151884,0.0002447081,0.0004252738,0.0002772768,0.0004405745,0.0007421022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001823991,"about_ca_system_score_gemma":0.0003307519,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001227158,"about_ca_topic_score_gemma":0.001053768,"domain_scores_codex":[0.9994474,0.00007611897,0.0001337897,0.00009951254,0.0001817288,0.00006151651],"domain_scores_gemma":[0.9915892,0.001539345,0.005590166,0.0002951509,0.000515859,0.0004703366],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001085215,0.00001141605,0.9975911,0.00001815425,0.00004324162,0.00006603793,0.00001818964,0.00001341953,0.00009184955,0.00001533557,0.0002816279,0.001741064],"study_design_scores_gemma":[0.000004315111,0.0000481046,0.9992311,0.00000801064,0.00002460212,0.0003418535,0.00003723705,0.00005352222,0.00004885571,0.00001722694,0.0001834293,0.000001711703],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941599,0.0004789952,0.0001377356,0.0002328363,0.00002123822,0.00001193931,0.002015283,0.0000107314,0.002931309],"genre_scores_gemma":[0.9986579,0.0001103181,0.00006710544,0.00003223354,0.00004199231,0.000005879824,0.0008898262,0.000002706883,0.0001919008],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007253188,"threshold_uncertainty_score":0.0242644,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0156996766806595,"score_gpt":0.2760046973991,"score_spread":0.2603050207184405,"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."}}