{"id":"W2900153070","doi":"10.1093/geroni/igy023.1869","title":"COGNITIVE AND PHYSICAL ACTIVITY TRAINING IMPROVES DUAL-TASK PERFORMANCES THROUGH SPECIFIC MECHANISMS","year":2018,"lang":"en","type":"article","venue":"Innovation in Aging","topic":"Physical Activity and Health","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier de l’Université de Montréal; Bishop's University; Institut Universitaire de Gériatrie de Montréal; Concordia University; Université de Montréal","funders":"","keywords":"Cognition; Cog; Cognitive flexibility; Cognitive training; Task (project management); Psychology; Aerobic exercise; Physical medicine and rehabilitation; Flexibility (engineering); Randomized controlled trial; Executive functions; Balance (ability); Effects of sleep deprivation on cognitive performance; Analysis of variance; Task switching; Physical therapy; Medicine; Computer science; Internal medicine; Neuroscience","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002039976,0.0001004665,0.0002292544,0.0001225634,0.00013121,0.0000223829,0.00002040243,0.00003889652,0.00001003154],"category_scores_gemma":[0.00005641367,0.00009061045,0.00001537599,0.0006778758,0.0001434347,0.0004758847,0.00002740239,0.0002748384,0.00001138701],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004310007,"about_ca_system_score_gemma":0.00005972796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003070718,"about_ca_topic_score_gemma":0.000005270887,"domain_scores_codex":[0.9992384,0.00002285684,0.0001459356,0.0002254173,0.000160053,0.0002073724],"domain_scores_gemma":[0.9995885,0.0001023004,0.00009580424,0.0000690735,0.0001177069,0.00002656034],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002824414,0.0006242157,0.0009271894,0.0001560032,0.00002908327,0.000009410562,0.03181514,3.281497e-7,0.6219758,0.04988753,0.00005330301,0.2942395],"study_design_scores_gemma":[0.005357808,0.002333226,0.2522576,0.001318892,0.00005042052,0.00006432649,0.01217315,0.0113371,0.6162708,0.09634717,0.001845338,0.0006442027],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9879788,0.000007387583,0.007092124,0.001310274,0.0001062449,0.0001907203,0.000003356074,0.00004373465,0.003267333],"genre_scores_gemma":[0.9980598,0.00001176125,0.0007860799,0.0004874408,0.0005916939,0.00001415444,0.000007663904,0.00001005091,0.00003134989],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2935953,"threshold_uncertainty_score":0.3694987,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09238748620687254,"score_gpt":0.3673710834199784,"score_spread":0.2749835972131058,"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."}}