{"id":"W2548216479","doi":"10.1212/cpj.0000000000000308","title":"Quantitative EEG in attention-deficit/hyperactivity disorder","year":2016,"lang":"en","type":"article","venue":"Neurology Clinical Practice","topic":"Attention Deficit Hyperactivity Disorder","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Congressionally Directed Medical Research Programs; American Clinical Neurophysiology Society; National Institute of Neurological Disorders and Stroke; American Academy of Neurology","keywords":"Attention deficit hyperactivity disorder; Electroencephalography; Perspective (graphical); Neurology; Psychology; Scalp; Audiology; Quantitative assessment; Attention deficit; Psychiatry; Medicine; Computer science; Artificial intelligence; Dermatology","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":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001934356,0.0002791494,0.0007379857,0.000204704,0.00009896085,0.00001846642,0.0001588325,0.0004619034,0.0005831471],"category_scores_gemma":[0.03828015,0.0002061882,0.0002878682,0.0004046653,0.0004191253,0.001054861,0.0001343276,0.001375869,0.002110611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003867564,"about_ca_system_score_gemma":0.000173504,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001018211,"about_ca_topic_score_gemma":0.0001369623,"domain_scores_codex":[0.9953249,0.001755876,0.001049721,0.000934499,0.0004297323,0.0005053398],"domain_scores_gemma":[0.9819217,0.01635505,0.0005088387,0.0006667288,0.0003454987,0.0002021976],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003966172,0.003239735,0.9709382,0.0000141177,0.0001032945,0.0004417274,0.00001111846,0.000005085044,0.002082007,0.001149506,0.0001844404,0.0178646],"study_design_scores_gemma":[0.005775375,0.001870274,0.9641725,0.0000331938,0.000185137,0.0003926613,0.0002413678,0.0002205945,9.935209e-7,0.0001460831,0.02673572,0.0002261149],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8959939,0.0001320365,0.002648418,0.09377807,0.0007530884,0.0005113755,0.000008263454,0.0001130345,0.006061769],"genre_scores_gemma":[0.9900261,0.0004455355,0.001756961,0.006640005,0.0001075026,0.00004630461,0.00000714104,0.0000556846,0.0009147787],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09403215,"threshold_uncertainty_score":0.9986663,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08883294810389952,"score_gpt":0.4434045664958763,"score_spread":0.3545716183919768,"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."}}