{"id":"W4387960292","doi":"10.38007/ijwm.2023.040102","title":"Meta-analysis of Acupuncture Combined with Cognitive Rehabilitation Training in the Treatment of Cognitive Impairment after Stroke","year":2023,"lang":"en","type":"article","venue":"International Journal of World Medicine","topic":"Neurological Disease Mechanisms and Treatments","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Physical medicine and rehabilitation; Rehabilitation; Cognitive rehabilitation therapy; Stroke (engine); Cognitive impairment; Cognition; Acupuncture; Cognitive training; Medicine; Physical therapy; Psychology; Alternative medicine; Psychiatry; Pathology; Engineering","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":[0.01190588,0.002775576,0.02242758,0.005384072,0.0008254239,0.002976944,0.001840155,0.002694508,0.004259029],"category_scores_gemma":[0.02396777,0.001258479,0.03713214,0.005019497,0.0005227876,0.001510535,0.001376411,0.001736206,0.0002876233],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002170866,"about_ca_system_score_gemma":0.003874012,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00489803,"about_ca_topic_score_gemma":0.009688417,"domain_scores_codex":[0.991791,0.003604502,0.002779887,0.0006672464,0.0009006324,0.0002567786],"domain_scores_gemma":[0.9911014,0.005826095,0.001682145,0.0003760689,0.0008397937,0.0001744733],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.005980097,0.00008334482,0.00195435,0.2605213,0.7193481,0.000111098,0.00005929165,0.0003217893,0.0004015303,0.000114175,0.0003418852,0.01076297],"study_design_scores_gemma":[0.001843462,0.0004585471,0.00264845,0.01081564,0.9828671,0.00006310536,0.00002272549,0.0001479631,0.0001361782,0.0001417102,0.0008400483,0.00001504828],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.007978903,0.9897729,0.0006600527,0.0002233782,0.0003364192,0.0004458958,0.0002862031,0.00003040948,0.0002658913],"genre_scores_gemma":[0.2793086,0.7086272,0.00410881,0.002191905,0.0008798319,0.003026877,0.001064137,0.00005279576,0.0007398768],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02242758,"threshold_uncertainty_score":0.06296504,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09040454062980294,"score_gpt":0.3515703741013236,"score_spread":0.2611658334715207,"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."}}