{"id":"W4415002951","doi":"10.1109/tnsre.2025.3619868","title":"Reinforcement Learning Identifies Age-Related Balance Strategy Shifts","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Neural Systems and Rehabilitation Engineering","topic":"Heart Rate Variability and Autonomic Control","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Balance (ability); Torso; Reinforcement learning; Ankle; Mechanism (biology); Muscle weakness; Electromyography; Reinforcement","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005845755,0.0004032395,0.0003451964,0.0001979799,0.0001158695,0.0002540859,0.0002918708,0.0003304361,0.001123214],"category_scores_gemma":[0.002941543,0.0001674747,0.000183621,0.00005734055,0.0002307684,0.0002316193,0.000398102,0.0004570302,0.0001601712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002999908,"about_ca_system_score_gemma":0.0003603986,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003098741,"about_ca_topic_score_gemma":0.002889429,"domain_scores_codex":[0.9999002,0.00002911246,0.000005067795,0.00002690979,0.00001585521,0.00002277101],"domain_scores_gemma":[0.9993499,0.0003337952,0.000103229,0.00004283475,0.00009976366,0.00007052256],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006420669,0.0005058403,0.03260543,0.0001143789,0.0001223942,0.0001871964,0.0001191928,0.8575185,0.01968813,0.001302116,0.001091102,0.08610378],"study_design_scores_gemma":[0.00001213624,0.0001237562,0.00368716,0.000005284194,0.000006610808,0.00001333271,0.000007974902,0.9944299,0.001122935,0.0004827053,0.0001039203,0.00000432482],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8769401,0.0002285045,0.1203864,0.000208253,0.0000380708,0.00006281604,0.0000988169,0.000305482,0.001731618],"genre_scores_gemma":[0.9958034,0.00002150156,0.003699883,0.00001634141,0.000002630426,0.00001792228,0.00004227359,0.000006739648,0.0003892749],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003098741,"threshold_uncertainty_score":0.006161392,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00733958093241911,"score_gpt":0.2344098745383478,"score_spread":0.2270702936059287,"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."}}