{"id":"W2528840144","doi":"10.3389/fnbeh.2016.00194","title":"Attention Performance Measured by Attention Network Test Is Correlated with Global and Regional Efficiency of Structural Brain Networks","year":2016,"lang":"en","type":"article","venue":"Frontiers in Behavioral Neuroscience","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"Specialized Research Fund for the Doctoral Program of Higher Education of China; National Natural Science Foundation of China","keywords":"Neuroscience; Parahippocampal gyrus; Inferior parietal lobule; Psychology; Neuroimaging; Superior frontal gyrus; Angular gyrus; Superior temporal gyrus; Cognitive psychology; Cognition; Functional magnetic resonance imaging; Temporal lobe","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":[0.0003942164,0.0003894297,0.0002206962,0.0008150045,0.0001376506,0.0003823655,0.0001913455,0.0002709065,0.001840138],"category_scores_gemma":[0.00291572,0.00008940695,0.0001456223,0.0003493134,0.000349306,0.0004112851,0.0003358086,0.0002134056,0.0001687955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001572146,"about_ca_system_score_gemma":0.00008747981,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002254879,"about_ca_topic_score_gemma":0.003665091,"domain_scores_codex":[0.9998216,0.0000348071,0.00001761615,0.00007177651,0.00003284614,0.00002133551],"domain_scores_gemma":[0.9987148,0.0005188161,0.0004262001,0.0001173461,0.0001089736,0.0001138504],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007511845,0.0001069279,0.9462601,0.00006768653,0.0003875069,0.0002673985,0.0004304326,0.003019951,0.02577345,0.0004918189,0.0002498821,0.02219356],"study_design_scores_gemma":[0.000007346764,0.0001420617,0.9948543,0.00000254695,0.00004958893,0.000200309,0.00005912505,0.002915293,0.001123828,0.0005574575,0.0000823306,0.000005833841],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982018,0.00008200097,0.0009645376,0.00002212795,0.000002760408,0.000007898333,0.0001072844,0.00001405847,0.0005974692],"genre_scores_gemma":[0.9995137,0.00003418528,0.0002092426,0.000004330037,0.000003118091,0.000004105014,0.00008938757,0.000002864636,0.0001390923],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002254879,"threshold_uncertainty_score":0.006155908,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02272024655848781,"score_gpt":0.2471135997208355,"score_spread":0.2243933531623477,"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."}}