{"id":"W2768831452","doi":"","title":"Effect of motor imagery therapy on cognitive function of patients with stroke","year":2017,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Motor imagery; Montreal Cognitive Assessment; Cognition; Rehabilitation; Motor function; Stroke (engine); Latency (audio); Physical medicine and rehabilitation; Event-related potential; Medicine; Physical therapy; Psychology; Cognitive impairment; Audiology; Electroencephalography; Brain–computer interface; 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":[0.0001704692,0.0001929403,0.0003093318,0.0001343056,0.000144582,0.0001159175,0.0000832626,0.0001545722,0.001162429],"category_scores_gemma":[0.0004584689,0.0000424149,0.0002723843,0.00006506576,0.00009829754,0.00009240377,0.0001171091,0.0001373748,0.00009604268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007525194,"about_ca_system_score_gemma":0.0001322032,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004309989,"about_ca_topic_score_gemma":0.0008966185,"domain_scores_codex":[0.9999408,0.00002261371,0.000005938522,0.000007483343,0.000008773872,0.00001439805],"domain_scores_gemma":[0.9998852,0.00003031493,0.00002763968,0.000005814336,0.00001146115,0.00003956181],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"nonrandomized_trial","study_design_scores_codex":[0.06769097,0.01626408,0.5442969,0.001065297,0.001104244,0.00152942,0.0006427268,0.000784502,0.02569238,0.00009053762,0.001386876,0.3394521],"study_design_scores_gemma":[0.001198321,0.03146743,0.964065,0.00003519097,0.0002550794,0.0004808472,0.0001832445,0.0004883498,0.001168022,0.00006072665,0.0005878262,0.00001002472],"study_design_candidate":"nonrandomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990261,0.0004669065,0.00003030374,0.00003396736,0.000007111117,0.00001548912,0.00001590596,0.000002955088,0.0004011711],"genre_scores_gemma":[0.9993787,0.0002328931,0.00008451296,0.00004917131,0.00001821966,0.00001822769,0.00004567932,3.01142e-7,0.0001722372],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001162429,"threshold_uncertainty_score":0.003888726,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1036353329922182,"score_gpt":0.5081610074204934,"score_spread":0.4045256744282753,"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."}}