{"id":"W4389265702","doi":"10.1016/j.neuroimage.2023.120482","title":"Intrinsic neural timescales relate to the dynamics of infraslow neural waves","year":2023,"lang":"en","type":"article","venue":"NeuroImage","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Ottawa Mental Health Centre; University of Ottawa","funders":"FP7 Coordination of Research Activities; Physicians' Services Incorporated Foundation; Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; China Scholarship Council","keywords":"Neuroscience; Dynamics (music); Psychology; Trough (economics); Neural activity; Artificial neural network; Functional magnetic resonance imaging; Human brain; Chemistry; Artificial intelligence; 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":[0.0002938742,0.0002797097,0.0001668409,0.0006783233,0.000166566,0.0004932398,0.0001936305,0.0002212438,0.001483516],"category_scores_gemma":[0.004483423,0.0001618884,0.0001428129,0.0004708302,0.000317831,0.000947461,0.0004855123,0.0004738631,0.0001424571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001448636,"about_ca_system_score_gemma":0.0001349314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008301467,"about_ca_topic_score_gemma":0.001233895,"domain_scores_codex":[0.9998853,0.00001475206,0.0000134599,0.00003682661,0.00003130144,0.00001825826],"domain_scores_gemma":[0.9990242,0.0004285558,0.0003159867,0.0000820093,0.00008916571,0.00006009675],"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":[0.0007645724,0.0001576486,0.1451249,0.000625541,0.0001865193,0.0005915419,0.001679221,0.005132731,0.6800466,0.007098608,0.0009269262,0.1576653],"study_design_scores_gemma":[0.00001025608,0.0001275466,0.9619007,0.00002935455,0.00004847466,0.0006016708,0.0002050374,0.006444633,0.02412879,0.005313672,0.001161006,0.00002886431],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9477636,0.001019319,0.04475651,0.00009862899,0.00002966343,0.0000574711,0.0005986266,0.0001032591,0.00557286],"genre_scores_gemma":[0.9938174,0.000314746,0.005106359,0.00002556587,0.00002340103,0.0000323231,0.0002490487,0.00004021903,0.0003908955],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001483516,"threshold_uncertainty_score":0.004962921,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03359101351582612,"score_gpt":0.2680562690096168,"score_spread":0.2344652554937907,"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."}}