{"id":"W4207028308","doi":"10.1016/j.tics.2021.12.005","title":"Mind-wandering: mechanistic insights from lesion, tDCS, and iEEG","year":2022,"lang":"en","type":"review","venue":"Trends in Cognitive Sciences","topic":"Mind wandering and attention","field":"Neuroscience","cited_by":45,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hotchkiss Brain Institute; University of Calgary","funders":"National Institute of Neurological Disorders and Stroke; National Institute of Mental Health; Natural Sciences and Engineering Research Council of Canada; Istituto Superiore di Sanità","keywords":"Mind-wandering; Psychology; Default mode network; Neuroscience; Transcranial direct-current stimulation; Neuroimaging; Mechanism (biology); Cognition; Cognitive neuroscience; Cognitive science; Functional neuroimaging; Cognitive psychology; Neural correlates of consciousness; Brain stimulation; Stimulation","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003453477,0.0003700885,0.0007645223,0.0008647978,0.0006124858,0.0001899481,0.0004361701,0.0001211839,0.001501533],"category_scores_gemma":[0.0005364392,0.0002897686,0.0001472005,0.001608341,0.0005398183,0.0001916368,0.0003078413,0.0004418247,0.00003265926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005743676,"about_ca_system_score_gemma":0.000135158,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004541071,"about_ca_topic_score_gemma":0.00006038431,"domain_scores_codex":[0.9968616,0.0004491571,0.0004513675,0.001313944,0.0005752617,0.0003486463],"domain_scores_gemma":[0.9980733,0.001380741,0.000283905,0.0001508897,0.00001290721,0.00009821185],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000003778092,0.00005034648,0.000003168785,0.0001532305,0.000004764865,0.00006803148,0.0002057148,3.011108e-7,0.00003223793,0.0002802793,0.00002182346,0.9991763],"study_design_scores_gemma":[0.0008210089,0.0006814844,0.0000955943,0.009850187,0.0004728796,0.0001249832,0.00138721,0.0003402401,0.0005779137,0.006521662,0.9775699,0.001556897],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.002310908,0.9848875,0.00009198973,0.00002101195,0.0007556135,0.0002432147,0.0001775321,0.00004641546,0.01146575],"genre_scores_gemma":[0.02633486,0.9724318,0.0000620313,0.0000538836,0.00008341443,0.00009090207,0.00005213504,0.00002129844,0.0008696903],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9976195,"threshold_uncertainty_score":0.9999555,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5189175019666307,"score_gpt":0.4601109268188394,"score_spread":0.05880657514779125,"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."}}