{"id":"W4226228321","doi":"10.1016/j.neuroimage.2022.119190","title":"Harmonized-Multinational qEEG norms (HarMNqEEG)","year":2022,"lang":"en","type":"article","venue":"NeuroImage","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Neurological Institute and Hospital","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; Fonds de recherche du Québec – Nature et technologies; Ministerio de Ciencia, Tecnología y Medio Ambiente; Fondation Nestlé; Universiti Sains Malaysia; Hospital Universiti Sains Malaysia; Canarie; National Natural Science Foundation of China; Ministry of Higher Education, Malaysia; Fondation Brain Canada; National Institutes of Health; University of Electronic Science and Technology of China; Canada First Research Excellence Fund; Russian Foundation for Basic Research; Ludmer Centre for Neuroinformatics and Mental Health; National Science Foundation","keywords":"Multinational corporation; Psychology; Cognitive psychology; Business; Finance","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00038911,0.0001115554,0.0001560673,0.00005273761,0.0002614766,0.00003488863,0.0002525006,0.00001644638,0.006742436],"category_scores_gemma":[0.001704208,0.0001038767,0.0000592785,0.0001655017,0.00004709639,0.00005397365,0.0002485609,0.0003238247,0.0000880497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003575378,"about_ca_system_score_gemma":0.00003446013,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008892947,"about_ca_topic_score_gemma":6.525347e-7,"domain_scores_codex":[0.998683,0.0002062092,0.0002295255,0.0002543918,0.0004134808,0.0002133566],"domain_scores_gemma":[0.9984086,0.001137983,0.00008071859,0.0002437905,0.00005689691,0.00007198939],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00008874184,0.0006141273,0.001413102,0.00007722226,0.00002578274,0.0002387601,0.0004135734,0.00001634181,0.02268933,0.8662006,0.05681019,0.05141223],"study_design_scores_gemma":[0.001525147,0.0003877206,0.02653879,0.000008570555,0.00004927998,0.000114498,0.00015073,0.01270197,0.003055167,0.8576212,0.09731957,0.0005273469],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5680777,0.0001010505,0.2762003,0.005425314,0.002372641,0.001261108,0.001086834,0.0008003016,0.1446747],"genre_scores_gemma":[0.6152864,0.000005112973,0.3782096,0.001888677,0.0001367628,0.000146966,0.00002003133,0.00005500547,0.004251462],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1404233,"threshold_uncertainty_score":0.9941655,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1074733985551616,"score_gpt":0.3737509918288202,"score_spread":0.2662775932736586,"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."}}