{"id":"W4381191477","doi":"10.1097/mrr.0000000000000588","title":"Visual feedback and age affect upper limb reaching accuracy and kinematics in immersive virtual reality among healthy adults","year":2023,"lang":"en","type":"article","venue":"International Journal of Rehabilitation Research","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Centre for Interdisciplinary Research in Rehabilitation","funders":"","keywords":"Virtual reality; Kinematics; Task (project management); Affect (linguistics); Physical medicine and rehabilitation; Visual feedback; End point; Psychology; Medicine; Computer science; Mathematics; Computer vision; Artificial intelligence; Communication; Physics; Geometry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004266721,0.0003481119,0.0003330637,0.0003721983,0.0001790664,0.0003711092,0.0001296561,0.0004882,0.00140796],"category_scores_gemma":[0.00211089,0.0002833825,0.0002838176,0.0002256882,0.0001433328,0.0003233267,0.0002389355,0.0002652222,0.0002645683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006640569,"about_ca_system_score_gemma":0.00006888343,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001277155,"about_ca_topic_score_gemma":0.001284425,"domain_scores_codex":[0.9996693,0.00007755537,0.00004177483,0.000103383,0.00006885594,0.00003906593],"domain_scores_gemma":[0.9987826,0.0003794348,0.000515508,0.00008093054,0.0001310385,0.0001103901],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001543484,0.0007391885,0.9743909,0.0001011651,0.0002093272,0.0003996196,0.0009721756,0.0001482045,0.01048793,0.00002726071,0.00007144291,0.01090934],"study_design_scores_gemma":[0.000007051006,0.001040415,0.99818,0.000003116729,0.00003570754,0.0002738694,0.0001187998,0.00008857572,0.0001830507,0.00001013403,0.00005537606,0.000003965382],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995678,0.0001790685,0.0001008205,0.000004911928,0.000002309224,0.000003917857,0.00003422494,0.000002792361,0.0001042763],"genre_scores_gemma":[0.9996275,0.00005892629,0.0001006692,0.000008470462,0.000003518416,0.000004724668,0.0000426768,0.000001184992,0.0001522776],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00140796,"threshold_uncertainty_score":0.004710078,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04620043446604826,"score_gpt":0.4458788317206734,"score_spread":0.3996783972546251,"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."}}