{"id":"W1522715751","doi":"10.1109/iembs.2006.259324","title":"Application of Velocity Filters to Somatosensory Evoked Potential Measurements for Removal of Stimulus Artifact","year":2006,"lang":"en","type":"article","venue":"","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Artifact (error); Stimulus (psychology); Acoustics; Filter (signal processing); Somatosensory system; Low-pass filter; Spatial filter; Image resolution; Computer science; Physics; Computer vision; Artificial intelligence; Neuroscience","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":[0.000685942,0.000525044,0.0003416789,0.0007462287,0.0002587797,0.0006616848,0.0003194849,0.0005097825,0.001348457],"category_scores_gemma":[0.004930285,0.0002484534,0.0002403303,0.000414215,0.0002846466,0.000559058,0.0002326527,0.0003918342,0.0004362591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002060389,"about_ca_system_score_gemma":0.0003171899,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006718199,"about_ca_topic_score_gemma":0.001186252,"domain_scores_codex":[0.9995596,0.00009444461,0.00003138799,0.00005912961,0.000221136,0.00003436867],"domain_scores_gemma":[0.9982744,0.00102244,0.0001226694,0.0001505001,0.0003921596,0.00003784551],"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":[0.0004239409,0.00006370644,0.002066091,0.0002305439,0.00004572401,0.0001429999,0.00009673155,0.002458122,0.7521776,0.0009265035,0.0002758869,0.2410921],"study_design_scores_gemma":[0.00005443533,0.001002253,0.02780137,0.00006878909,0.0000913995,0.001413715,0.00009041707,0.05717504,0.903583,0.001488776,0.007159401,0.00007146783],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1394565,0.0005116505,0.8574024,0.00009962748,0.0001237522,0.0001056638,0.00008247703,0.0008365057,0.001381333],"genre_scores_gemma":[0.4446341,0.0008012262,0.5526519,0.00009239716,0.00008464159,0.0000956685,0.0001449656,0.0001506754,0.001344637],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001348457,"threshold_uncertainty_score":0.004511058,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04007004148391785,"score_gpt":0.2823702252193266,"score_spread":0.2423001837354088,"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."}}