{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008259012,0.0007407495,0.0005097555,0.002868226,0.0002640228,0.0007349394,0.0005477222,0.000644962,0.0004244019],"category_scores_gemma":[0.02103378,0.0001410153,0.0008357522,0.0009165307,0.000555079,0.0007467346,0.0007630629,0.0003888291,0.0001406127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003747988,"about_ca_system_score_gemma":0.0003194876,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001209534,"about_ca_topic_score_gemma":0.001626017,"domain_scores_codex":[0.9962213,0.001390975,0.000710037,0.0005849655,0.0008278437,0.0002647939],"domain_scores_gemma":[0.9901732,0.004852956,0.002292107,0.0005486457,0.001692068,0.0004410073],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001020568,0.00008899216,0.9802631,0.00005415106,0.0003633676,0.00006152642,0.0001495732,0.000545748,0.0004655524,0.00005263126,0.0001239479,0.01681084],"study_design_scores_gemma":[0.00005515066,0.0006189881,0.991991,0.00004360418,0.0002331142,0.0005416393,0.0001572573,0.004724978,0.001201176,0.0002044,0.0002033801,0.00002526523],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965249,0.001180549,0.001095482,0.00005409801,0.00002128397,0.00003131813,0.0002055481,0.00002656313,0.000860332],"genre_scores_gemma":[0.9990273,0.0001013246,0.0006151497,0.00001774151,0.00001071913,0.00001400784,0.0001754376,0.000001369973,0.00003698417],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008259012,"threshold_uncertainty_score":0.04367834,"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."}}