{"id":"W2056176150","doi":"10.1002/1097-0193(200103)12:3<144::aid-hbm1011>3.0.co;2-3","title":"Low-resolution electrical tomography of the brain during psychometrically matched verbal and spatial cognitive tasks","year":2001,"lang":"en","type":"article","venue":"Human Brain Mapping","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Medical Research Council; Medical Research Council Canada","keywords":"Electroencephalography; Psychology; Cognition; Audiology; Set (abstract data type); Artifact (error); Elementary cognitive task; Alpha (finance); Pattern recognition (psychology); Neuroscience; Cognitive psychology; Developmental psychology; Computer science; Psychometrics; Medicine","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":[],"consensus_categories":[],"category_scores_codex":[0.00029701,0.0001990461,0.000244388,0.0004018178,0.000439244,0.00009712688,0.0003617608,0.00009654649,0.00004177043],"category_scores_gemma":[0.0006956398,0.0001633872,0.0001364423,0.001288089,0.0002867448,0.0001347923,0.0001855868,0.0003242132,0.000005276383],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003257566,"about_ca_system_score_gemma":0.00001851286,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005429056,"about_ca_topic_score_gemma":0.00002566766,"domain_scores_codex":[0.9980119,0.0002903363,0.000377668,0.0005144579,0.0003854641,0.0004201122],"domain_scores_gemma":[0.9986569,0.0007890676,0.0001943419,0.000222903,0.00004979788,0.0000869944],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0000724126,0.000140416,0.007792268,0.00005343622,0.00001730545,0.00001611874,0.001188745,0.00001684039,0.9868527,0.0003858834,0.0004575516,0.003006331],"study_design_scores_gemma":[0.002497136,0.0003311352,0.8450257,0.0005132254,0.00001904595,0.000152201,0.0002161789,0.003298428,0.1446112,0.002141913,0.0006960534,0.0004978005],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9910732,0.00006473481,0.006164972,0.00103858,0.0001526728,0.0003206313,0.000009261224,0.00007794814,0.001098037],"genre_scores_gemma":[0.9983163,0.000009291862,0.00005791443,0.001203306,0.0001577729,0.00001117131,0.000001865074,0.00001785531,0.0002245548],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8422415,"threshold_uncertainty_score":0.6662735,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02713442266008194,"score_gpt":0.271225934667611,"score_spread":0.244091512007529,"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."}}