{"id":"W2015415796","doi":"10.1016/j.jns.2015.01.010","title":"Executive dysfunction is a strong stroke predictor","year":2015,"lang":"en","type":"article","venue":"Journal of the Neurological Sciences","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"Canadian Institutes of Health Research","keywords":"Stroke (engine); Executive dysfunction; Cognition; Incidence (geometry); Prospective cohort study; Risk factor; Population; Psychology; Medicine; Cognitive decline; Physical therapy; Internal medicine; Psychiatry; Dementia; Neuropsychology","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":[0.001140672,0.001017575,0.0007537909,0.001489713,0.0008729076,0.001724896,0.0006053798,0.001042519,0.005596476],"category_scores_gemma":[0.006774661,0.0004051031,0.001068889,0.001430701,0.0004336966,0.001094852,0.0006316499,0.002135354,0.0008348448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003086731,"about_ca_system_score_gemma":0.0009877896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004501588,"about_ca_topic_score_gemma":0.008996786,"domain_scores_codex":[0.9994628,0.0001374862,0.00009173858,0.00009963079,0.0001088491,0.0000994416],"domain_scores_gemma":[0.9943146,0.001617074,0.0018762,0.0004616274,0.0008106536,0.0009198089],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002123307,0.00008737159,0.9944445,0.00002674671,0.0002852063,0.000381816,0.00004040797,0.00004953449,0.0001548975,0.00004692081,0.0004920076,0.003778223],"study_design_scores_gemma":[0.000008583901,0.00006399234,0.9980514,0.0000258478,0.0002190472,0.00061694,0.000119041,0.0002349427,0.0000664512,0.0002553191,0.0003295371,0.00000877886],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9835841,0.004079232,0.0004660458,0.001696206,0.0002007296,0.00002086743,0.001108648,0.00004729014,0.008796846],"genre_scores_gemma":[0.9965635,0.0008923936,0.0002123289,0.000135335,0.0002578138,0.000007227843,0.0006779982,0.000008780816,0.001244645],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005596476,"threshold_uncertainty_score":0.01872212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06492602803818255,"score_gpt":0.335168124893115,"score_spread":0.2702420968549324,"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."}}