{"id":"W1968763877","doi":"10.1109/tbme.2005.869656","title":"An Experimental Study to Investigate the Effects of a Motion Tracking Electromagnetic Sensor During EEG Data Acquisition","year":2006,"lang":"en","type":"article","venue":"IEEE Transactions on Biomedical Engineering","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Neil Squire Society; University of British Columbia","funders":"","keywords":"Electroencephalography; Tracking (education); Data acquisition; Spectral density; Computer science; Motion (physics); Acoustics; Power (physics); Artificial intelligence; Computer vision; Physics; Psychology; Neuroscience; Telecommunications","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":[0.0001319608,0.0001600793,0.0001435872,0.0001965861,0.0001339021,0.00005537478,0.0004051488,0.00004083557,0.00001081347],"category_scores_gemma":[0.00002081732,0.0001284814,0.00003614443,0.000413859,0.00006281336,0.0002204057,0.000006184566,0.0002000011,0.000005720326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004592826,"about_ca_system_score_gemma":0.000009641755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004828061,"about_ca_topic_score_gemma":0.000003750499,"domain_scores_codex":[0.9986387,0.0000905065,0.0002525351,0.0004082103,0.0003567695,0.0002532126],"domain_scores_gemma":[0.9992207,0.0001962036,0.00003494979,0.0004245357,0.00001152557,0.0001120747],"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":[0.00001921175,0.0009343682,0.000001933408,0.0000351446,0.000006152865,0.00001748401,0.0005018186,0.01794192,0.9795,0.000004659745,0.00000552956,0.001031757],"study_design_scores_gemma":[0.000445045,0.001182988,0.0009735446,0.00006684062,0.00001699538,0.0000278068,0.00007500187,0.06534021,0.9317369,0.000002457979,0.000009471732,0.0001226767],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8370515,0.0000137242,0.1618933,0.00008919248,0.0004325703,0.0003635137,0.00001351693,0.0001390651,0.000003698727],"genre_scores_gemma":[0.9992654,0.000001714975,0.0005182878,0.00006054171,0.00008590682,0.0000307166,0.000002782009,0.00002221114,0.00001238404],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.162214,"threshold_uncertainty_score":0.5239322,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01414273346194828,"score_gpt":0.2577466915643323,"score_spread":0.2436039581023841,"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."}}