{"id":"W3003369528","doi":"10.3390/brainsci10020079","title":"Behavioral and Electrophysiological Correlates of Performance Monitoring and Development in Children and Adolescents with Attention-Deficit/Hyperactivity Disorder","year":2020,"lang":"en","type":"article","venue":"Brain Sciences","topic":"Attention Deficit Hyperactivity Disorder","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"National Institute of Mental Health","keywords":"Psychology; Attention deficit hyperactivity disorder; Audiology; Error-related negativity; Event-related potential; Developmental psychology; Child Behavior Checklist; Attention deficits; Electrophysiology; Analysis of variance; Electroencephalography; Clinical psychology; Cognition; Anterior cingulate cortex; Neuroscience; Medicine","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":[0.0001202491,0.0001053998,0.0001982129,0.00005839804,0.0001163836,0.0000213627,0.00004026264,0.00003845445,0.000003582709],"category_scores_gemma":[0.00004573837,0.00007690864,0.000009381334,0.0002155042,0.0003196679,0.0002227582,0.00005937935,0.0001397752,8.612647e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008835555,"about_ca_system_score_gemma":0.00004432109,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000255371,"about_ca_topic_score_gemma":0.00000511281,"domain_scores_codex":[0.9991664,0.00002894277,0.0001391292,0.0003023074,0.0002049254,0.000158259],"domain_scores_gemma":[0.9997653,0.00003088756,0.00006321931,0.0000434808,0.0000261903,0.00007088215],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000787383,0.0001172015,0.9842582,0.00003250175,0.000005125646,0.000001223746,0.0001325874,0.00001169015,0.008645133,0.000003810713,1.760911e-7,0.00671362],"study_design_scores_gemma":[0.0008468662,0.0005684104,0.9971674,0.0001285207,0.00001145777,0.00003487586,0.0007272162,0.0003060079,0.0001109329,9.429257e-7,0.000002699646,0.00009463174],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999098,0.0002816826,0.00004125381,0.0003277734,0.000009380207,0.0002214012,8.58128e-7,0.0000131928,0.000006439479],"genre_scores_gemma":[0.9993085,0.00008905859,0.000550809,0.00002398899,0.000009792274,0.000006260844,0.000001693656,0.000005021522,0.000004897775],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01290925,"threshold_uncertainty_score":0.3136243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03048505791038497,"score_gpt":0.2956855441999527,"score_spread":0.2652004862895677,"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."}}