{"id":"W3183011267","doi":"10.1212/wnl.90.15_supplement.p4.205","title":"Readmission After Mechanical Thrombectomy for Acute Ischemic Stroke: A Nationwide Readmission Database Analysis (P4.205)","year":2018,"lang":"en","type":"article","venue":"Neurology","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Medicine; Ischemic stroke; Stroke (engine); Database; Acute stroke; Emergency medicine; Internal medicine; Ischemia; Computer science; Engineering","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":[0.0009982474,0.0004225903,0.00058981,0.001495183,0.0004042835,0.0007550764,0.0008513567,0.000479523,0.001807406],"category_scores_gemma":[0.003430566,0.0003769599,0.001830553,0.002560638,0.0001219207,0.0008128262,0.0008911361,0.0008543513,0.0003857934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000555518,"about_ca_system_score_gemma":0.001040175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02577706,"about_ca_topic_score_gemma":0.04713563,"domain_scores_codex":[0.9989942,0.000264962,0.0002304923,0.0001624186,0.0001620782,0.0001859161],"domain_scores_gemma":[0.9974188,0.0003360152,0.001321388,0.0002791799,0.0003673088,0.0002773703],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000368118,0.00008567482,0.9957733,0.00006982312,0.0004825949,0.00006656992,0.00003418051,0.0001173553,0.00008577194,0.00003536993,0.001592894,0.001288442],"study_design_scores_gemma":[0.00004771628,0.00009929327,0.9984413,0.00001825469,0.0001694117,0.00009403077,0.00009422214,0.0006267741,0.00005059038,0.00002448167,0.0003284438,0.0000055484],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9738256,0.0002828419,0.0002473123,0.00009838848,0.00001925821,0.00007602901,0.02492521,0.00002151257,0.0005038237],"genre_scores_gemma":[0.9661121,0.0001212307,0.0004268132,0.000102679,0.00002683195,0.0001592339,0.03258399,0.000009713755,0.0004574143],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02577706,"threshold_uncertainty_score":0.05125403,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0164192957911412,"score_gpt":0.3128989353815182,"score_spread":0.296479639590377,"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."}}