{"id":"W2892184016","doi":"10.1161/strokeaha.118.022114","title":"Endovascular Thrombectomy for Mild Strokes: How Low Should We Go?","year":2018,"lang":"en","type":"article","venue":"Stroke","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":123,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Center for Advancing Translational Sciences; National Institute of Neurological Disorders and Stroke; National Institutes of Health; Stryker","keywords":"Medicine; Stroke (engine); Intracerebral hemorrhage; Thrombus; Occlusion; Odds ratio; Propensity score matching; Logistic regression; Computed tomographic; Cohort; Retrospective cohort study; Cerebral infarction; Thrombolysis; Surgery; Internal medicine; Myocardial infarction; Computed tomography; Glasgow Coma Scale; Ischemia","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":[0.01004053,0.0007746695,0.003362097,0.001413887,0.001017619,0.005145385,0.001684378,0.005183402,0.005690875],"category_scores_gemma":[0.03539641,0.0003879483,0.001203621,0.001348638,0.002245473,0.005765159,0.001464121,0.005592014,0.00303998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001386694,"about_ca_system_score_gemma":0.002711797,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002551515,"about_ca_topic_score_gemma":0.003974236,"domain_scores_codex":[0.9953899,0.002228373,0.0007382862,0.0003147267,0.001066707,0.0002618546],"domain_scores_gemma":[0.9818523,0.009040223,0.003198494,0.0006305028,0.003031633,0.002246836],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.005246937,0.000790632,0.1211674,0.008075614,0.001667786,0.001105504,0.0005643816,0.0004411823,0.0006066115,0.005702045,0.1930076,0.6616243],"study_design_scores_gemma":[0.005087174,0.006661478,0.3647066,0.08513501,0.009817324,0.01148996,0.01193908,0.004795901,0.001110699,0.1074243,0.3911218,0.000710645],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.02834962,0.372997,0.001185248,0.5874264,0.006599401,0.00005761913,0.0004545818,0.00009828743,0.002831811],"genre_scores_gemma":[0.3643608,0.3737666,0.005169936,0.1957314,0.05682737,0.0002255612,0.000935915,0.0001203506,0.002862222],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.01004053,"threshold_uncertainty_score":0.05309999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03742477297398515,"score_gpt":0.2945270355938568,"score_spread":0.2571022626198716,"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."}}