{"id":"W4220867907","doi":"10.1007/s42600-021-00196-7","title":"BCI based on pedal end-effector triggered through pedaling imagery to promote excitability over the feet motor area","year":2022,"lang":"en","type":"article","venue":"Research on Biomedical Engineering","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Brain–computer interface; Motor imagery; Electroencephalography; Physical medicine and rehabilitation; Psychology; Stroke (engine); Brain activity and meditation; Cadence; Motor cortex; Rehabilitation; Computer science; Neuroscience; Medicine; Engineering","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":[0.002922286,0.0002510614,0.0002629048,0.0004003723,0.0005373812,0.0001685545,0.00104756,0.00007209955,0.0007709464],"category_scores_gemma":[0.00289391,0.0001779382,0.0001278289,0.001356524,0.0002140061,0.00008797827,0.0005894626,0.001487856,0.00006226813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004031023,"about_ca_system_score_gemma":0.0001660475,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004900934,"about_ca_topic_score_gemma":9.007912e-7,"domain_scores_codex":[0.9946124,0.0006811138,0.0002918482,0.0008282565,0.002620846,0.0009655162],"domain_scores_gemma":[0.9946181,0.004274971,0.00003675804,0.0006758517,0.0000444291,0.000349902],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004670416,0.0006313105,0.00001132487,0.0001573228,0.0000133259,0.0002188207,0.0006613758,0.01547993,0.9717577,0.0004401052,0.00327657,0.006885158],"study_design_scores_gemma":[0.001278524,0.004171789,0.0011607,0.0001963679,0.000005273894,0.00002233649,0.000110874,0.6222372,0.1831059,0.00006775359,0.187147,0.0004962654],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9865482,0.00002100127,0.005024081,0.005672222,0.0008188216,0.001106143,0.0001914751,0.0002430847,0.0003749125],"genre_scores_gemma":[0.9977799,0.000003061003,0.0003315798,0.0009965341,0.000337455,0.000348381,0.000008702998,0.0000431365,0.0001512204],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7886518,"threshold_uncertainty_score":0.8441322,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08318218409126563,"score_gpt":0.3668107501770556,"score_spread":0.2836285660857899,"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."}}