{"id":"W2911790438","doi":"10.1080/13825585.2019.1577352","title":"A Danish version of the Oxford cognitive screen: a stroke-specific screening test as an alternative to the MoCA","year":2019,"lang":"en","type":"article","venue":"Aging Neuropsychology and Cognition","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Danmarks Frie Forskningsfond; Stroke Association","keywords":"Montreal Cognitive Assessment; Danish; Psychology; Test (biology); Cognition; Stroke (engine); Gerontology; Cognitive impairment; Psychiatry; Medicine","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":[0.001721823,0.0006722253,0.0008684265,0.002757835,0.0007554175,0.001275727,0.0005501903,0.0005453405,0.002849187],"category_scores_gemma":[0.004887193,0.0002759905,0.0007140124,0.001600505,0.0002599184,0.0004303917,0.0009272759,0.0005466848,0.0007560873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000978474,"about_ca_system_score_gemma":0.001703581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04555053,"about_ca_topic_score_gemma":0.06210348,"domain_scores_codex":[0.9980716,0.0004562767,0.0006100614,0.0002341969,0.0004977885,0.0001301232],"domain_scores_gemma":[0.9980466,0.0003178186,0.000463005,0.0001194339,0.0009360042,0.0001170556],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004183669,0.0005422203,0.7410722,0.003343309,0.001469057,0.001393993,0.00259812,0.00193835,0.007444508,0.004540186,0.06319004,0.1682844],"study_design_scores_gemma":[0.000201238,0.0004122171,0.9517094,0.0005165464,0.0003102141,0.001782588,0.0008657391,0.001064974,0.00148581,0.001049907,0.04048726,0.0001140407],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8548719,0.01051032,0.01126489,0.001389934,0.0007301716,0.00249073,0.07285016,0.0003556026,0.04553621],"genre_scores_gemma":[0.920782,0.004283087,0.0230443,0.0004348041,0.0001012454,0.002057757,0.03577139,0.00007876931,0.01344669],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04555053,"threshold_uncertainty_score":0.09057081,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02779621398533363,"score_gpt":0.2868974171979131,"score_spread":0.2591012032125795,"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."}}