{"id":"W4311981839","doi":"10.1016/j.nicl.2022.103277","title":"Spectral slowing in chronic stroke reflects abnormalities in both periodic and aperiodic neural dynamics","year":2022,"lang":"en","type":"article","venue":"NeuroImage Clinical","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; Baycrest Hospital; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Heart and Stroke Foundation of Canada","keywords":"Magnetoencephalography; Aperiodic graph; Neuroscience; Stroke (engine); Rhythm; Frequency domain; Psychology; Electroencephalography; Dysfunctional family; Audiology; Physics; Medicine; Mathematics; Internal medicine","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"],"consensus_categories":[],"category_scores_codex":[0.0007792355,0.0002471084,0.0004096919,0.0002745967,0.0003270828,0.0001603639,0.0003520486,0.00007693018,0.0001109757],"category_scores_gemma":[0.0007454514,0.0002653621,0.000143452,0.0004992746,0.000337095,0.0003456339,0.0004652052,0.001647319,0.000007324113],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003624293,"about_ca_system_score_gemma":0.0001625531,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008911325,"about_ca_topic_score_gemma":0.000497783,"domain_scores_codex":[0.9962844,0.0009279065,0.0007908785,0.0009635683,0.0004077021,0.0006255387],"domain_scores_gemma":[0.9985565,0.000809141,0.0001381895,0.0003611484,0.000008406682,0.0001265965],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002235034,0.001762475,0.4797261,0.0002922949,0.00001661042,0.01276717,0.001581194,0.01535495,0.4194031,0.01120635,0.0004426046,0.05521214],"study_design_scores_gemma":[0.003145753,0.002174704,0.4455739,0.00002219098,0.00001245624,0.0004544463,0.0002692271,0.5454438,0.0003564813,0.0005141094,0.001500747,0.0005321582],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960231,0.00008442962,0.00001148883,0.001270913,0.001167927,0.0003346189,0.00005122478,0.00008403033,0.0009722678],"genre_scores_gemma":[0.9965742,0.0001485633,0.00003093297,0.002425258,0.000149328,0.0000396097,0.00001028085,0.00003994097,0.0005818962],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5300889,"threshold_uncertainty_score":0.9999799,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0524746687984663,"score_gpt":0.3296900298737745,"score_spread":0.2772153610753083,"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."}}