{"id":"W4361011220","doi":"10.3389/fneur.2023.1136408","title":"Effects of post-acute COVID-19 syndrome on the functional brain networks of non-hospitalized individuals","year":2023,"lang":"en","type":"article","venue":"Frontiers in Neurology","topic":"Long-Term Effects of COVID-19","field":"Medicine","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sunnybrook Hospital; Health Sciences Centre; Toronto Rehabilitation Institute; Sunnybrook Health Science Centre; McMaster University; University of Toronto; Toronto Metropolitan University; Baycrest Hospital; St. Michael's Hospital","funders":"Canadian Institutes of Health Research; Sunnybrook Foundation","keywords":"Coronavirus disease 2019 (COVID-19); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Medicine; Neuroscience; Psychology; Intensive care medicine; Internal medicine; Virology; Disease; Outbreak","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":[],"consensus_categories":[],"category_scores_codex":[0.0009317361,0.0002566579,0.0008074341,0.0006437667,0.00006303254,0.000006608823,0.0003319386,0.0003177931,0.00004782786],"category_scores_gemma":[0.003736825,0.0001975185,0.0002024371,0.0008237689,0.0004372224,0.00005368878,0.0001667957,0.0005395105,0.00001808332],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005998699,"about_ca_system_score_gemma":0.0002603298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003672683,"about_ca_topic_score_gemma":0.000002408617,"domain_scores_codex":[0.9975808,0.0005530426,0.0005208196,0.0004506927,0.0004200725,0.0004745717],"domain_scores_gemma":[0.9944724,0.004458746,0.0002852368,0.0005261442,0.00005693612,0.0002005293],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005830799,0.0004487069,0.6794669,0.001316976,0.0009531745,0.003829929,0.0007037362,0.007519225,0.006393187,0.0006323904,0.2924204,0.0004846572],"study_design_scores_gemma":[0.006127954,0.005136094,0.9800046,0.00007659441,0.0001969934,0.0001737001,0.00001904739,0.004674387,0.0004687598,0.0009126135,0.002032069,0.0001771985],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9538051,0.0001342051,0.003007222,0.03888471,0.002243313,0.001716731,0.00003252483,0.00009145498,0.00008475116],"genre_scores_gemma":[0.9621084,0.00005570889,0.0001622049,0.03711384,0.00008681272,0.000162404,0.00008042988,0.000048479,0.0001816654],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3005377,"threshold_uncertainty_score":0.8054571,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00742869684397664,"score_gpt":0.2634437278998443,"score_spread":0.2560150310558676,"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."}}