{"id":"W2919972061","doi":"10.1016/j.cortex.2019.02.024","title":"Suppressing movements with phantom limbs and existing limbs evokes comparable electrophysiological inhibitory responses","year":2019,"lang":"en","type":"article","venue":"Cortex","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Ministero dell’Istruzione, dell’Università e della Ricerca","keywords":"Imaging phantom; Phantom limb; Inhibitory postsynaptic potential; Psychology; Physical medicine and rehabilitation; Movement (music); Motor imagery; Electroencephalography; Task (project management); Electrophysiology; Electromyography; Neuroscience; Brain–computer interface; Medicine; Physics; Nuclear medicine; Acoustics","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":[0.0001034749,0.0001857361,0.0002408109,0.00006690955,0.000186263,0.0001617917,0.0002231815,0.00005177094,0.00005042785],"category_scores_gemma":[0.00007744076,0.0001346233,0.00002988867,0.0001321341,0.0001633882,0.0002243601,0.0001425475,0.0002033506,0.00005293912],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002194064,"about_ca_system_score_gemma":0.00003317491,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008590404,"about_ca_topic_score_gemma":0.000001931548,"domain_scores_codex":[0.9985046,0.0001483885,0.0001863875,0.0005600822,0.0002247792,0.0003757188],"domain_scores_gemma":[0.9991001,0.0004578776,0.0001057003,0.0002260765,0.00003007464,0.00008016949],"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":[0.0004069614,0.0001422817,0.003264725,0.00002581532,0.000005451683,0.0000302406,0.0001658023,0.00002698718,0.994747,0.0001120711,0.0001748371,0.0008978567],"study_design_scores_gemma":[0.0008134713,0.002877698,0.02886391,0.0002301242,0.000008453647,0.00006427064,0.0001288633,0.005194956,0.9592202,0.0002725349,0.001989226,0.0003363496],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959652,0.0001927656,0.00008803034,0.00004204075,0.0001940089,0.0001947291,0.00000487545,0.0001156036,0.00320273],"genre_scores_gemma":[0.9964052,0.00002090991,0.000342856,0.0006193978,0.00008484175,0.000006803235,0.00000168115,0.00001664212,0.002501647],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03552682,"threshold_uncertainty_score":0.5489779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03953392758094318,"score_gpt":0.2862301053951182,"score_spread":0.246696177814175,"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."}}