{"id":"W4407388582","doi":"10.1177/11795735251314881","title":"Prevalence and outcomes of mild stroke patients undergoing reperfusion therapy: A meta-analysis and SAFE recommendations for optimal management","year":2025,"lang":"en","type":"article","venue":"Journal of Central Nervous System Disease","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Japan Society for the Promotion of Science; Ministry of Education, Culture, Sports, Science and Technology; Government of Canada; Fondazione Cariplo; Canadian Institutes of Health Research; Australian Academy of Science; National Cerebral and Cardiovascular Center","keywords":"Medicine; Thrombolysis; Stroke (engine); Intracerebral hemorrhage; Meta-analysis; Adverse effect; Odds ratio; Internal medicine; Reperfusion therapy; Cochrane Library; MEDLINE; Physical therapy; Subarachnoid hemorrhage; Ischemia; Myocardial infarction","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.03501066,0.003059198,0.01691064,0.007265147,0.0005774351,0.003989708,0.003017701,0.002803629,0.003125811],"category_scores_gemma":[0.05890326,0.001800797,0.0642029,0.005307528,0.0007387024,0.001960691,0.001716792,0.002094131,0.0003329145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002398127,"about_ca_system_score_gemma":0.003009193,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005995454,"about_ca_topic_score_gemma":0.007325944,"domain_scores_codex":[0.97605,0.01518459,0.004926113,0.001897202,0.001474425,0.0004676553],"domain_scores_gemma":[0.9658183,0.02506766,0.005443039,0.001528882,0.001735335,0.0004068465],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.002247387,0.00002441041,0.01106312,0.09461553,0.8785801,0.0001040341,0.00006304993,0.001298053,0.0001325492,0.0002228811,0.0006695156,0.01097946],"study_design_scores_gemma":[0.0006439734,0.0001245276,0.005543747,0.01083229,0.9805675,0.00006455701,0.00003242786,0.0006048906,0.00007682195,0.0004653137,0.001017083,0.0000269472],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.009949103,0.9841271,0.002715026,0.001123872,0.0002508444,0.000363684,0.001014689,0.00005732292,0.0003983787],"genre_scores_gemma":[0.5144181,0.4671791,0.01095237,0.00228961,0.0006288701,0.001816926,0.0022271,0.00009692927,0.0003911293],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03501066,"threshold_uncertainty_score":0.1851563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02345749368573665,"score_gpt":0.2889573724599556,"score_spread":0.265499878774219,"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."}}