{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004056758,0.0001807618,0.0001940891,0.0003480113,0.0007723075,0.00006434834,0.0002088128,0.00005838427,0.00007953616],"category_scores_gemma":[0.005727171,0.0001896525,0.00006533698,0.0007939152,0.0001289897,0.0002976615,0.0002324086,0.0002179257,0.0001470982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001277333,"about_ca_system_score_gemma":0.00001935707,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007031878,"about_ca_topic_score_gemma":0.0003329935,"domain_scores_codex":[0.9980207,0.0002314016,0.0002771871,0.0006357893,0.0003457562,0.0004891322],"domain_scores_gemma":[0.9976162,0.001954723,0.0001063014,0.0002448367,0.00003237306,0.00004560623],"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":[0.00002109977,0.00007960665,0.07771701,0.0001789615,0.00001120546,0.00009014581,0.002650966,0.0003357999,0.9105866,0.005198526,0.002464221,0.0006658466],"study_design_scores_gemma":[0.0008752664,0.00001478648,0.9794774,0.0001031928,0.000002720271,0.000006393777,0.0006256339,0.0006179201,0.01289106,0.004171093,0.0009820177,0.0002324955],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.988636,0.00002824616,0.0001180106,0.008290278,0.0001997648,0.0004708451,0.00001360338,0.0002714737,0.001971795],"genre_scores_gemma":[0.9969016,0.000006472188,0.00002682868,0.0005693085,0.0001043754,0.0001533842,0.000008785197,0.00002459829,0.00220465],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9017604,"threshold_uncertainty_score":0.7733805,"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."}}