{"id":"W4399478614","doi":"10.54941/ahfe1004902","title":"Design a Rehabilitation Platform to Improve Mild Cognitive Impairment by Integrating Cognitive Training Games with Moderate-intensity Cycling Exercise","year":2024,"lang":"en","type":"article","venue":"AHFE international","topic":"Educational Games and Gamification","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cycling; Training (meteorology); Cognition; Physical medicine and rehabilitation; Rehabilitation; Cognitive impairment; Cognitive training; Cognitive rehabilitation therapy; Computer science; Intensity (physics); Human–computer interaction; Psychology; Physical therapy; Medicine; Neuroscience","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":[0.0005297253,0.001074361,0.0006670528,0.0007485489,0.0003561141,0.0003592536,0.0009634371,0.0006066759,0.004565314],"category_scores_gemma":[0.0003398262,0.0002045332,0.0008578811,0.0001605594,0.0002397664,0.0003186405,0.0007887671,0.0004390096,0.000938373],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002520144,"about_ca_system_score_gemma":0.001047777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001181214,"about_ca_topic_score_gemma":0.001375967,"domain_scores_codex":[0.9996898,0.00005655852,0.0000306183,0.00007671263,0.00005683444,0.00008942744],"domain_scores_gemma":[0.9998941,0.00000974024,0.00001150767,0.000006415853,0.00002245608,0.00005569772],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.02644099,0.07165752,0.01952971,0.004809683,0.0006958888,0.001202096,0.0008761582,0.01588847,0.2256306,0.003444775,0.007531769,0.6222923],"study_design_scores_gemma":[0.03929863,0.4190571,0.2148422,0.0008420454,0.003138846,0.001998733,0.001259987,0.1546487,0.1072847,0.005188339,0.05193413,0.0005067068],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8688151,0.0006338139,0.09312746,0.0004783035,0.0004571745,0.02690114,0.0009313569,0.001465418,0.007190259],"genre_scores_gemma":[0.8229128,0.000635699,0.1329031,0.0005627283,0.00009174093,0.03362643,0.0007115819,0.00005331157,0.008502643],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004565314,"threshold_uncertainty_score":0.01527256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03849820115840855,"score_gpt":0.3436867135051723,"score_spread":0.3051885123467638,"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."}}