{"id":"W3039811954","doi":"10.1002/brb3.1671","title":"Diagnostic accuracy of cognitive screening tools under different neuropsychological definitions for poststroke cognitive impairment","year":2020,"lang":"en","type":"article","venue":"Brain and Behavior","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Montreal Cognitive Assessment; Neuropsychology; Cognition; Stroke (engine); Neuropsychological assessment; Cutoff; Cognitive impairment; Physical therapy; Psychology; Medicine; Audiology; Physical medicine and rehabilitation; Psychiatry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005664289,0.0001423149,0.0002889016,0.0000571124,0.00006751581,0.00001990177,0.0000304422,0.00007458299,0.0001496204],"category_scores_gemma":[0.004293763,0.0001074504,0.0001782923,0.00008295169,0.0001493805,0.00005627879,0.00003155661,0.0001358115,0.000005284199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009441645,"about_ca_system_score_gemma":0.00002657689,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002275743,"about_ca_topic_score_gemma":0.000001068134,"domain_scores_codex":[0.999096,0.00006044181,0.0002615695,0.0002684006,0.0001418457,0.0001717553],"domain_scores_gemma":[0.9923415,0.007177008,0.00008545814,0.00005604878,0.0001389122,0.0002010739],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.007323332,0.007371724,0.7395189,0.0007016616,0.0003734124,0.0001689022,0.003331362,0.000001835283,0.03404555,0.001133847,0.002429547,0.2035999],"study_design_scores_gemma":[0.004625197,0.004066758,0.9868073,0.000322798,0.0004806606,0.00003650843,0.002512703,0.00001755563,0.0009473143,0.0000292916,0.00003687486,0.0001169825],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9891102,0.0001148372,0.003986761,0.004297325,0.00007216607,0.001645037,0.0006082202,0.00003859182,0.0001268435],"genre_scores_gemma":[0.9948478,0.00006290134,0.000448074,0.003961415,0.00008610946,0.0003143461,0.000225596,0.00001591317,0.00003788618],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2472885,"threshold_uncertainty_score":0.5140345,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1081348731384193,"score_gpt":0.3550809899961106,"score_spread":0.2469461168576913,"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."}}