{"id":"W3038072156","doi":"10.1111/epi.16575","title":"Motor hyperactivation during cognitive tasks: An endophenotype of juvenile myoclonic epilepsy","year":2020,"lang":"en","type":"article","venue":"Epilepsia","topic":"Glycogen Storage Diseases and Myoclonus","field":"Medicine","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Engineering and Physical Sciences Research Council; Brain Research UK; Deutsche Forschungsgemeinschaft; Medical Research Council; Henry Smith Charity; University College London; European Academy of Neurology; Wellcome Trust; Academy of Medical Sciences; China Scholarship Council; National Institute for Health and Care Research; National Natural Science Foundation of China; Epilepsy Society; Wellcome","keywords":"Endophenotype; Juvenile myoclonic epilepsy; Hyperactivation; Epilepsy; Cognition; Juvenile; Psychology; Medicine; Neuroscience; Audiology; Internal medicine; Biology","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":[0.00007178657,0.0001955359,0.0004393219,0.00007617423,0.00008225914,0.00001285482,0.00009617332,0.00008837503,0.0009077231],"category_scores_gemma":[0.0004063731,0.0001887392,0.0001666861,0.0002565169,0.00006224982,0.000216966,0.00004468137,0.0002068309,0.0001427358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004790132,"about_ca_system_score_gemma":0.0001903633,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005960978,"about_ca_topic_score_gemma":0.000001562591,"domain_scores_codex":[0.9985948,0.0000601579,0.000381385,0.0003839647,0.0003053013,0.0002743487],"domain_scores_gemma":[0.9988862,0.00007386029,0.0001873483,0.0002422507,0.0002144168,0.0003959142],"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":[0.00940053,0.001400777,0.07001949,0.001007452,0.0005312006,0.002950502,0.00430082,0.00004225334,0.8951181,0.001178963,0.001133749,0.01291614],"study_design_scores_gemma":[0.01088779,0.004384793,0.8136287,0.0004908364,0.001098653,0.0004797274,0.003227341,0.001822706,0.1585094,0.0001616309,0.004478167,0.0008302931],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964811,0.0004023079,0.0001713575,0.000604171,0.0001396379,0.0005408382,0.0001306707,0.0001097203,0.001420203],"genre_scores_gemma":[0.9975712,0.00004178238,0.0005610654,0.0008794459,0.0004776836,0.00003844531,0.000200638,0.00004684821,0.0001828581],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7436092,"threshold_uncertainty_score":0.9938931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02423571104147179,"score_gpt":0.273232774737069,"score_spread":0.2489970636955972,"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."}}