{"id":"W2132666814","doi":"10.1371/journal.pone.0091183","title":"Using Motor Imagery to Study the Neural Substrates of Dynamic Balance","year":2014,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Balance, Gait, and Falls Prevention","field":"Health Professions","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Association France Parkinson; Nederlandse Organisatie voor Wetenschappelijk Onderzoek","keywords":"Balance (ability); Gait; Dynamic balance; Neuroscience; Functional magnetic resonance imaging; Trunk; Motor control; Coronal plane; Physical medicine and rehabilitation; Motor imagery; Sagittal plane; Supplementary motor area; Psychology; Medicine; Electroencephalography; Physics; Anatomy; Biology","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":[0.0001253072,0.0002166543,0.000111869,0.0002375476,0.00008222706,0.0001271446,0.0001148428,0.0001849109,0.0009893798],"category_scores_gemma":[0.0005785219,0.00009164715,0.00007234693,0.0001313843,0.0002447522,0.0002056355,0.0001975512,0.0002486984,0.00008399628],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001246341,"about_ca_system_score_gemma":0.0001582004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000733286,"about_ca_topic_score_gemma":0.001541348,"domain_scores_codex":[0.9999429,0.00001300982,0.000003248006,0.000017484,0.00001347408,0.000009862042],"domain_scores_gemma":[0.9999154,0.0000327387,0.00002178697,0.000008603772,0.000007267163,0.00001415943],"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":[0.0013264,0.0006487565,0.01203396,0.0002034919,0.00006075199,0.0001651568,0.0006168972,0.0009135419,0.9134293,0.0006602159,0.0001523739,0.06978927],"study_design_scores_gemma":[0.0006605712,0.01256031,0.8096389,0.00006369331,0.0001847303,0.002162046,0.0007359113,0.01471712,0.1509186,0.003595744,0.004707724,0.00005471475],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9911212,0.0002876817,0.006681236,0.00006005138,0.00001056597,0.00008255325,0.00006810199,0.00001364035,0.001675078],"genre_scores_gemma":[0.9911264,0.0003017204,0.007521902,0.000045411,0.00001678487,0.0001517633,0.0001097648,0.000006984348,0.000719313],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009893798,"threshold_uncertainty_score":0.003309786,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0836919143847045,"score_gpt":0.3640766617863608,"score_spread":0.2803847474016563,"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."}}