{"id":"W4417258285","doi":"10.64898/2025.12.09.25341917","title":"Language and cognitive outcomes after pediatric ischemic stroke: The role of linguistic diversity and age at stroke onset","year":2025,"lang":"","type":"preprint","venue":"medRxiv","topic":"Blood Coagulation and Thrombosis Mechanisms","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; Toronto Rehabilitation Institute; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Hospital for Sick Children","keywords":"Cognition; Linguistic diversity; Moderation; Stroke (engine); Diversity (politics); Socioeconomic status","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001493208,0.0002213389,0.0002710176,0.0005923065,0.0003674786,0.0009542861,0.000277555,0.0002725854,0.001767709],"category_scores_gemma":[0.005863907,0.0001073322,0.0003352293,0.000643188,0.0003340686,0.0004773662,0.0005959246,0.0005732542,0.000181492],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004599728,"about_ca_system_score_gemma":0.0006333451,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006070401,"about_ca_topic_score_gemma":0.00762051,"domain_scores_codex":[0.999402,0.000246369,0.00004802972,0.0001007647,0.00008119843,0.0001215796],"domain_scores_gemma":[0.9962536,0.000883117,0.001944451,0.0001613283,0.0002578829,0.0004996297],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001719458,0.00005464705,0.996451,0.00001434199,0.00006621955,0.00008998629,0.0002371818,0.00003523255,0.00008384782,0.00004061597,0.0001143638,0.002640517],"study_design_scores_gemma":[0.000003805471,0.00009317813,0.9990657,0.00002006227,0.00003032165,0.000125887,0.0003430996,0.00006078733,0.00008584733,0.00006257844,0.0001063771,0.000002471181],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99871,0.000517122,0.0000450701,0.0001251493,0.000004844323,0.000002346296,0.0001662602,0.000001763388,0.0004273713],"genre_scores_gemma":[0.9994711,0.0002070723,0.00005098784,0.00002213216,0.00000771143,0.000004783699,0.0001066752,0.000001246348,0.0001282821],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006070401,"threshold_uncertainty_score":0.01207012,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01496792390452375,"score_gpt":0.2650981818769232,"score_spread":0.2501302579723995,"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."}}