{"id":"W2991841285","doi":"10.1371/journal.pone.0224669","title":"Functional connectivity dynamics slow with descent from wakefulness to sleep","year":2019,"lang":"en","type":"article","venue":"PLoS ONE","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Ottawa Mental Health Centre; University of Ottawa; Western University; University of Toronto","funders":"Robarts Research Institute; Natural Sciences and Engineering Research Council of Canada; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Canada Excellence Research Chairs, Government of Canada","keywords":"Wakefulness; Sleep (system call); Neuroscience; Electroencephalography; Dynamic functional connectivity; Psychology; Functional connectivity; Computer science","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":[0.0001172823,0.0001314322,0.0001592429,0.0005214447,0.0001656803,0.0003436823,0.0001289137,0.0001802719,0.001141794],"category_scores_gemma":[0.001684895,0.0001623683,0.0001440311,0.0003115305,0.0002367217,0.0002792578,0.0002278599,0.0002399196,0.0002001455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001077434,"about_ca_system_score_gemma":0.0001257677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001665547,"about_ca_topic_score_gemma":0.002791456,"domain_scores_codex":[0.9999506,0.000006516374,0.000003528978,0.00001787394,0.00001131988,0.00001009233],"domain_scores_gemma":[0.9997193,0.00009379158,0.00007011373,0.00002576709,0.00005932762,0.00003165492],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001174984,0.00009995179,0.382352,0.0002311566,0.0003585369,0.001124614,0.00217238,0.003832174,0.4854307,0.001516775,0.001925035,0.1197816],"study_design_scores_gemma":[0.000006269775,0.00009885376,0.993565,0.000007007351,0.00001934485,0.0004217893,0.0001114543,0.002185312,0.002446794,0.0005304452,0.0005998126,0.000007931681],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994513,0.0003422531,0.003729192,0.00007138847,0.000006797784,0.0000136471,0.0002949481,0.0000638257,0.0009650232],"genre_scores_gemma":[0.9983582,0.0001253952,0.0007999785,0.00001782679,0.000007684002,0.00001356429,0.0003455449,0.00001390315,0.0003178269],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001665547,"threshold_uncertainty_score":0.003819644,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04057391492831144,"score_gpt":0.2129440994682662,"score_spread":0.1723701845399548,"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."}}