{"id":"W2054052425","doi":"10.1016/j.neuroimage.2006.06.005","title":"Post-movement beta rebound is generated in motor cortex: Evidence from neuromagnetic recordings","year":2006,"lang":"en","type":"article","venue":"NeuroImage","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":507,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hospital for Sick Children","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Beta Rhythm; Precentral gyrus; Magnetoencephalography; BETA (programming language); Postcentral gyrus; Movement (music); Neuroscience; Psychology; Electroencephalography; Motor cortex; Rhythm; Somatosensory system; Physics; Medicine; Stimulation; Magnetic resonance imaging; Internal medicine; Computer science","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000137207,0.0003192576,0.0002928521,0.0001817709,0.0001315411,0.000375995,0.0007025414,0.00007411309,0.0003609014],"category_scores_gemma":[0.0002454641,0.0003118514,0.00009796701,0.0004283188,0.0001370782,0.0005014942,0.0002465025,0.0003617685,0.0002398245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005089163,"about_ca_system_score_gemma":0.00004582036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002477812,"about_ca_topic_score_gemma":0.0001884408,"domain_scores_codex":[0.9970602,0.0002727034,0.0005396376,0.001160394,0.0004454669,0.0005215796],"domain_scores_gemma":[0.9985037,0.0005565077,0.000169646,0.000606993,0.00006425876,0.00009892187],"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":[0.0000556409,0.0001165874,0.003339631,0.0000111886,0.000001291129,0.0003620373,0.0001351413,0.00001750754,0.9900832,0.00002471999,0.004703765,0.001149311],"study_design_scores_gemma":[0.0005539166,0.000625097,0.2530548,0.00009750624,0.00001282682,0.00002124703,0.00001092549,0.005959729,0.7361821,0.0004075863,0.002704261,0.000369986],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943728,0.0001720196,0.00005527559,0.002657444,0.0008682436,0.0004136831,0.0001169825,0.0001664035,0.001177126],"genre_scores_gemma":[0.9847205,0.00006200942,0.0004577321,0.01159126,0.0002195081,0.00002018247,0.000006887318,0.00004774518,0.002874225],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2539011,"threshold_uncertainty_score":0.9999334,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03164292405267632,"score_gpt":0.2622546807689505,"score_spread":0.2306117567162742,"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."}}