{"id":"W4407369727","doi":"10.1038/s41593-025-01900-x","title":"Author Correction: The architecture of the human default mode network explored through cytoarchitecture, wiring and signal flow","year":2025,"lang":"en","type":"erratum","venue":"Nature Neuroscience","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; McGill University; Montreal Neurological Institute and Hospital","funders":"","keywords":"Cytoarchitecture; Default mode network; Neuroscience; SIGNAL (programming language); Architecture; Signal-flow graph; Functional connectivity; Cognitive science; Flow (mathematics); Computer science; Psychology; Physics; Engineering; Geography; Electrical engineering","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":[0.002612503,0.001746624,0.00125933,0.003027759,0.002476458,0.002365766,0.002865145,0.003851807,0.06230693],"category_scores_gemma":[0.04568098,0.0007580709,0.001028648,0.001881698,0.001781939,0.001870824,0.001719598,0.007611273,0.02946963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002345288,"about_ca_system_score_gemma":0.003315404,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01424675,"about_ca_topic_score_gemma":0.01910898,"domain_scores_codex":[0.9975388,0.0002871127,0.0004194711,0.000457932,0.001148205,0.0001485243],"domain_scores_gemma":[0.9774386,0.004995268,0.0008234693,0.001629414,0.01431295,0.0008003404],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003539535,0.000003813598,0.00007950537,0.0001061849,0.00001115464,0.0003420982,0.00004517982,0.0000631958,0.0001341788,0.001258082,0.9890954,0.008825804],"study_design_scores_gemma":[0.00003695824,0.00001515773,0.0007411455,0.0002924797,0.00004985009,0.001689465,0.0001036071,0.0004746544,0.001040705,0.00341725,0.9920913,0.00004739802],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.0004201684,0.0008889784,0.003581169,0.03266518,0.9556836,0.00002480333,0.001705589,0.0006663994,0.00436407],"genre_scores_gemma":[0.04649177,0.009128036,0.02460917,0.06121049,0.3190473,0.0002975411,0.006681128,0.005176477,0.5273581],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.06230693,"threshold_uncertainty_score":0.2084374,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008883955871622714,"score_gpt":0.2889360088886892,"score_spread":0.2800520530170665,"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."}}