{"id":"W2185802111","doi":"10.1186/s13063-015-1054-x","title":"Effects of acupuncture and computer-assisted cognitive training for post-stroke attention deficits: study protocol for a randomized controlled trial","year":2015,"lang":"en","type":"article","venue":"Trials","topic":"Acupuncture Treatment Research Studies","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"State Administration of Traditional Chinese Medicine of the People's Republic of China; Ministry of Science and Technology of the People's Republic of China; National Natural Science Foundation of China; Fujian University of Traditional Chinese Medicine; Deutsche Forschungsgemeinschaft","keywords":"Medicine; Acupuncture; Physical therapy; Randomized controlled trial; Cognitive training; Cognition; Stroke (engine); Physical medicine and rehabilitation; Rehabilitation; Cognitive rehabilitation therapy; Montreal Cognitive Assessment; Quality of life (healthcare); Psychiatry; Cognitive impairment; Alternative medicine; Internal 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":[0.02856274,0.007849852,0.01999401,0.003265532,0.003970499,0.004705716,0.004220635,0.008319102,0.07591379],"category_scores_gemma":[0.02749028,0.003902272,0.006861902,0.004655629,0.004240342,0.004113977,0.002228917,0.008976202,0.01137776],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00588413,"about_ca_system_score_gemma":0.0178338,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00288925,"about_ca_topic_score_gemma":0.006049254,"domain_scores_codex":[0.981822,0.009539273,0.00251138,0.001805653,0.002340321,0.001981284],"domain_scores_gemma":[0.9882084,0.003322972,0.002694306,0.001146016,0.0027761,0.001852365],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.8778762,0.01369133,0.0006553775,0.05151881,0.003377768,0.000292956,0.0003397799,0.001538015,0.001969446,0.00321055,0.01125357,0.03427615],"study_design_scores_gemma":[0.9601921,0.01696017,0.001099612,0.004067679,0.001294353,0.00004115266,0.00009273789,0.001049914,0.0004224567,0.001106172,0.01358754,0.00008608861],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.001001112,0.0004233399,0.0007417213,0.00009479877,0.0002400229,0.9965783,0.0005264868,0.00006323957,0.0003310321],"genre_scores_gemma":[0.001082076,0.0002036419,0.001073137,0.00009670078,0.00004160513,0.9971991,0.00008435205,0.000003797343,0.000215708],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.07591379,"threshold_uncertainty_score":0.2539569,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1567090364852693,"score_gpt":0.4606132860236912,"score_spread":0.3039042495384219,"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."}}