{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008260157,0.000901652,0.0005892155,0.002169338,0.0003996662,0.001690177,0.001823904,0.0006681029,0.006748709],"category_scores_gemma":[0.04271945,0.0003730118,0.0009954865,0.002228834,0.0007519384,0.001436755,0.003465608,0.0008267759,0.002029071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007372691,"about_ca_system_score_gemma":0.001241318,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004161989,"about_ca_topic_score_gemma":0.006863121,"domain_scores_codex":[0.9958627,0.001548984,0.0006700596,0.001157357,0.0006267623,0.0001340059],"domain_scores_gemma":[0.9883075,0.003706801,0.001820491,0.003941253,0.002052099,0.0001718509],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001328938,0.0003005343,0.1886286,0.002087784,0.002115838,0.0008140688,0.001694033,0.02939563,0.012597,0.06322963,0.1565614,0.5412465],"study_design_scores_gemma":[0.0006171942,0.0007517692,0.3031704,0.0006086369,0.0006266538,0.003826326,0.0009299347,0.1190599,0.02714366,0.1383687,0.4045197,0.0003772449],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1320169,0.0009386115,0.7453201,0.0007195132,0.0002988639,0.001145774,0.09953101,0.01092366,0.009105572],"genre_scores_gemma":[0.3074962,0.0003798419,0.5454252,0.0005544207,0.0001191611,0.004456833,0.1329449,0.00463995,0.003983489],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008260157,"threshold_uncertainty_score":0.04368442,"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."}}