{"id":"W4411549959","doi":"10.1161/strokeaha.125.050669","title":"Poverty and Stroke: The Need for Socioeconomic Data in Hyperacute Care","year":2025,"lang":"en","type":"review","venue":"Stroke","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; University of Calgary","funders":"","keywords":"Medicine; Socioeconomic status; Stroke (engine); Poverty; Environmental health; Medical emergency; Population; Economic growth","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":[0.0150165,0.0008215718,0.003882204,0.003297244,0.0006231456,0.003961448,0.001607754,0.002848227,0.003045832],"category_scores_gemma":[0.05444881,0.0004361273,0.002496482,0.004300542,0.001866326,0.006372725,0.002321208,0.005030628,0.0004656896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002771544,"about_ca_system_score_gemma":0.01172708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006625019,"about_ca_topic_score_gemma":0.01218113,"domain_scores_codex":[0.9860418,0.008880823,0.002015524,0.0005598568,0.002227607,0.0002743773],"domain_scores_gemma":[0.944708,0.04720619,0.002776586,0.00091583,0.003887036,0.0005063331],"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":[0.0001618875,0.00004538894,0.0009705088,0.1434844,0.001668048,0.0001201438,0.0006258207,0.0005889951,0.0001487904,0.02138072,0.05079728,0.7800081],"study_design_scores_gemma":[0.0001343331,0.0001557229,0.005256845,0.325909,0.002115102,0.0005321087,0.001271443,0.0003907213,0.000147669,0.03593881,0.6280404,0.000107717],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001849128,0.983871,0.0004196636,0.01370116,0.001094487,0.0000282906,0.00009246314,0.000006607837,0.0006014755],"genre_scores_gemma":[0.003779762,0.988923,0.001155356,0.004678244,0.00113807,0.00008502977,0.00009307415,0.000005280161,0.0001422706],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.0150165,"threshold_uncertainty_score":0.0794158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03956531146273892,"score_gpt":0.3451009729513783,"score_spread":0.3055356614886394,"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."}}