{"id":"W4283640577","doi":"10.1002/jmri.28317","title":"Static and Dynamic Characteristics of Functional Network Connectivity in Neurologically Asymptomatic Patients Undergoing Maintenance Hemodialysis: A <scp>Resting‐State</scp> Functional <scp>MRI</scp> Study","year":2022,"lang":"en","type":"article","venue":"Journal of Magnetic Resonance Imaging","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Asymptomatic; Medicine; Default mode network; Statistical significance; Hemodialysis; Neuropsychology; Internal medicine; Cognition; Functional magnetic resonance imaging; Radiology; Psychiatry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003185527,0.0001945074,0.000204907,0.0006318213,0.0002710182,0.0002779676,0.0002153338,0.0003605999,0.0009039884],"category_scores_gemma":[0.001365451,0.0001024517,0.0002041298,0.0004078259,0.0002607116,0.0003508578,0.0002093433,0.0002221902,0.00006790364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001988512,"about_ca_system_score_gemma":0.0002145301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002146139,"about_ca_topic_score_gemma":0.003581699,"domain_scores_codex":[0.9998856,0.00002078114,0.00001500058,0.00003921403,0.00002060495,0.00001880834],"domain_scores_gemma":[0.9991861,0.0001970839,0.0003175579,0.00006931714,0.0000878701,0.0001420171],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003558872,0.00008616249,0.993127,0.00002077585,0.0001127862,0.0004256157,0.000164075,0.0001163383,0.002079765,0.00003211095,0.00007992549,0.003399588],"study_design_scores_gemma":[0.000005891366,0.0001327362,0.9986964,0.000002443924,0.00002196386,0.0006012711,0.00008619675,0.0002588319,0.0001159044,0.00003295069,0.00004268005,0.000002832105],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996854,0.00004296805,0.00008226802,0.0000083125,8.765606e-7,0.000004111397,0.00006389242,0.000001101214,0.0001112041],"genre_scores_gemma":[0.9997978,0.00001708947,0.00006168215,0.000004361093,0.000003906277,0.000004272107,0.00009056155,4.40301e-7,0.00001987841],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002146139,"threshold_uncertainty_score":0.004267275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0130945744231312,"score_gpt":0.2231309422493793,"score_spread":0.2100363678262482,"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."}}