{"id":"W2734757979","doi":"10.1089/brain.2017.0509","title":"Interactions of the Salience Network and Its Subsystems with the Default-Mode and the Central-Executive Networks in Normal Aging and Mild Cognitive Impairment","year":2017,"lang":"en","type":"article","venue":"Brain Connectivity","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":205,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute on Aging; National Institutes of Health","keywords":"Default mode network; Salience (neuroscience); Psychology; Cognition; Task-positive network; Functional magnetic resonance imaging; Neuroscience; Neuroimaging; Resting state fMRI; Cognitive psychology; Audiology; Medicine","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":[0.0003224955,0.0002309115,0.0001807426,0.0005164699,0.0001329442,0.0002678457,0.0001680173,0.000151388,0.0004669551],"category_scores_gemma":[0.001317197,0.0001386931,0.0001835961,0.0001558411,0.0003390058,0.0003059938,0.0002833988,0.0001773962,0.00002415328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002708025,"about_ca_system_score_gemma":0.0001847897,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008065515,"about_ca_topic_score_gemma":0.008512225,"domain_scores_codex":[0.9999211,0.0000236274,0.000005378047,0.00002519192,0.00001159472,0.00001314172],"domain_scores_gemma":[0.9996886,0.0001223915,0.00009810953,0.00002730531,0.00002431013,0.00003936535],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002642959,0.0003126521,0.8212614,0.000130962,0.000524718,0.001141427,0.002326539,0.01443754,0.102269,0.003376771,0.00033658,0.0512394],"study_design_scores_gemma":[0.00001152126,0.00008238145,0.9816808,0.000004833785,0.00005314808,0.0001951045,0.0001250841,0.01516561,0.0009219034,0.001653127,0.00009902126,0.000007529889],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998516,0.0001322208,0.001061666,0.00002084853,0.000001065855,0.000003587904,0.00002729707,0.000006445903,0.0002309002],"genre_scores_gemma":[0.9995961,0.00002683872,0.0002803078,0.000003745138,0.000001999518,0.000002885621,0.00002761793,0.000001039954,0.00005947461],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008065515,"threshold_uncertainty_score":0.01603717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0217625483735418,"score_gpt":0.2718375992357028,"score_spread":0.250075050862161,"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."}}