{"id":"W4387638831","doi":"10.1002/hbm.26510","title":"Aberrant degree centrality profiles during rumination in major depressive disorder","year":2023,"lang":"en","type":"article","venue":"Human Brain Mapping","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Addiction and Mental Health","funders":"National Postdoctoral Program for Innovative Talents; Institute of Psychology, Chinese Academy of Sciences; China Postdoctoral Science Foundation; Beijing Nova Program; Science and Technology Program of Suzhou; Natural Science Foundation of Jiangsu Province; Government of Jiangsu Province; Chinese Academy of Sciences; National Natural Science Foundation of China; Jiangsu Commission of Health; National Key Research and Development Program of China; China Scholarship Council; U.S. Department of Veterans Affairs","keywords":"Rumination; Major depressive disorder; Psychology; Functional magnetic resonance imaging; Neuroimaging; Distraction; Resting state fMRI; Default mode network; Association (psychology); Neuroscience; Cognition","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001610148,0.0001172288,0.0001541893,0.0007116738,0.0001332315,0.0002460618,0.0001079502,0.0001334765,0.0009157019],"category_scores_gemma":[0.001489468,0.00009076777,0.000103644,0.0004009205,0.0001330292,0.0001530484,0.0002511784,0.0001576027,0.00009723847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000177295,"about_ca_system_score_gemma":0.00007019748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002430725,"about_ca_topic_score_gemma":0.005046723,"domain_scores_codex":[0.999926,0.00001789891,0.000005486679,0.00001921856,0.00001464014,0.00001674194],"domain_scores_gemma":[0.9995123,0.0001241454,0.0002055569,0.00003528751,0.00005194954,0.0000707533],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001981587,0.00009955039,0.833238,0.0001326751,0.0002326553,0.001212116,0.003024182,0.001951604,0.1119629,0.000925559,0.0009666248,0.04427255],"study_design_scores_gemma":[0.000006420441,0.00003812569,0.9966806,0.000005963236,0.0000139893,0.0004604138,0.0002009383,0.001212826,0.0007724265,0.0003818413,0.0002212337,0.000005274178],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988895,0.0001314241,0.0005049986,0.00002595879,0.000002030182,0.000004792332,0.0001379976,0.000008487004,0.0002948084],"genre_scores_gemma":[0.9994714,0.00004781865,0.0002273698,0.000005306969,0.00000257629,0.000003888757,0.0001401183,0.000003052653,0.0000985157],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002430725,"threshold_uncertainty_score":0.004833162,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07891996802297062,"score_gpt":0.2935640302528364,"score_spread":0.2146440622298658,"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."}}