{"id":"W2284870378","doi":"10.3233/rnn-150563","title":"Interactive virtual feedback improves gait motor imagery after spinal cord injury: An exploratory study","year":2016,"lang":"en","type":"article","venue":"Restorative Neurology and Neuroscience","topic":"Sport Psychology and Performance","field":"Psychology","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Centre for Interdisciplinary Research in Rehabilitation","funders":"Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research","keywords":"Spinal cord injury; Motor imagery; Gait; Physical medicine and rehabilitation; Psychology; Spinal cord; Medicine; Neuroscience; Brain–computer interface; Electroencephalography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004591312,0.000338607,0.0003274409,0.0002464467,0.0002985599,0.0000384383,0.00043407,0.0001844665,0.0002456343],"category_scores_gemma":[0.0001200558,0.0002438867,0.00004900952,0.000295353,0.001682443,0.001188806,0.0001707845,0.0005608045,0.0002105028],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001407221,"about_ca_system_score_gemma":0.00005544813,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000738188,"about_ca_topic_score_gemma":0.00003065759,"domain_scores_codex":[0.9967937,0.0008040902,0.00034707,0.001303814,0.0001892778,0.000562064],"domain_scores_gemma":[0.9986455,0.0001873055,0.000221284,0.0006272142,0.00008962028,0.0002290065],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.14133,0.003099667,0.3822423,0.000009055988,0.00004848722,0.001649459,0.007183672,5.079029e-7,0.4032502,0.001022941,0.002060888,0.05810284],"study_design_scores_gemma":[0.0009715571,0.04944905,0.9438125,0.000008868918,0.00001599194,0.0001072563,0.000552452,0.000006519838,0.0008348473,0.0001068729,0.003839502,0.0002945787],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944533,0.00007943345,0.0001643511,0.0006487454,0.003686608,0.0004776218,0.00003436361,0.00009723439,0.0003584067],"genre_scores_gemma":[0.9932048,0.00003681939,0.000008449728,0.005336405,0.0002070619,0.0002476631,7.274035e-7,0.00002691986,0.000931207],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5615702,"threshold_uncertainty_score":0.994541,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03742795420894914,"score_gpt":0.3584189156166737,"score_spread":0.3209909614077246,"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."}}