{"id":"W4385164199","doi":"10.1016/j.neunet.2023.07.019","title":"Dissociable default-mode subnetworks subserve childhood attention and cognitive flexibility: Evidence from deep learning and stereotactic electroencephalography","year":2023,"lang":"en","type":"article","venue":"Neural Networks","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Vector Institute; SickKids Foundation; University of Toronto; University Health Network; Toronto Western Hospital; Mental Health Research Canada; Hospital for Sick Children","funders":"","keywords":"Default mode network; Computer science; Task-positive network; Cognition; Electroencephalography; Artificial intelligence; Flexibility (engineering); Local field potential; Neuroscience; Machine learning; Cognitive psychology; Psychology","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":[0.0005666253,0.0003583874,0.0002621301,0.0005299241,0.0001239832,0.0007227038,0.0004682317,0.0004247664,0.001878551],"category_scores_gemma":[0.003497152,0.0003146026,0.0003025168,0.0004043198,0.0008844698,0.001068109,0.0005774901,0.0008306832,0.0001403773],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003635362,"about_ca_system_score_gemma":0.0002379761,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003903223,"about_ca_topic_score_gemma":0.007165142,"domain_scores_codex":[0.9997926,0.0000431239,0.00001195588,0.00008078486,0.00003747237,0.00003416363],"domain_scores_gemma":[0.9985759,0.000729545,0.0003583459,0.0002027187,0.0000598739,0.00007358423],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0029984,0.0005970164,0.5735495,0.0005559434,0.001892964,0.001310953,0.002625472,0.0124648,0.1633808,0.0130225,0.002431349,0.2251703],"study_design_scores_gemma":[0.00004759766,0.00008125262,0.9791821,0.00003463358,0.0001192571,0.0004180984,0.0002142752,0.00471057,0.004794102,0.009856992,0.00051516,0.00002603214],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9884939,0.0006693256,0.007116782,0.0003571834,0.0000130891,0.00001871099,0.0008164233,0.00005317096,0.00246149],"genre_scores_gemma":[0.9971528,0.000274596,0.001691376,0.00006598411,0.000007488993,0.00001819278,0.0003249556,0.00001710022,0.0004474327],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003903223,"threshold_uncertainty_score":0.007761002,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02568068611982596,"score_gpt":0.2906207353438682,"score_spread":0.2649400492240422,"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."}}