{"id":"W4388191715","doi":"10.3389/fnhum.2023.1253529","title":"Brain language networks and cognitive outcomes in children with frontotemporal lobe epilepsy","year":2023,"lang":"en","type":"article","venue":"Frontiers in Human Neuroscience","topic":"Epilepsy research and treatment","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier Universitaire Sainte-Justine; Montreal Children's Hospital; McGill University Health Centre; Université de Montréal","funders":"Fonds de Recherche du Québec - Santé; Centre hospitalier universitaire Sainte-Justine; Université de Montréal; Natural Sciences and Engineering Research Council of Canada; Sick Kids Foundation; Savoy Foundation","keywords":"Epilepsy; Neuropsychology; Cognition; Temporal lobe; Psychology; Lateralization of brain function; Default mode network; Neuroscience; Electroencephalography; Frontal lobe; Audiology; Functional near-infrared spectroscopy; Resting state fMRI; Cognitive psychology; Medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002195693,0.0003125741,0.0001792902,0.0007453539,0.0002942013,0.0003931794,0.0001632183,0.0002189438,0.001426047],"category_scores_gemma":[0.001065666,0.00008220173,0.0002503049,0.0003901244,0.0003350389,0.0003471599,0.0003272328,0.0002567828,0.0001200154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004255196,"about_ca_system_score_gemma":0.0002999147,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009325598,"about_ca_topic_score_gemma":0.01125506,"domain_scores_codex":[0.9998914,0.00001387626,0.000009222685,0.00002565549,0.0000229724,0.00003685557],"domain_scores_gemma":[0.9995042,0.0000737661,0.0002639422,0.00001281517,0.00004800248,0.00009732576],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009491711,0.00003593022,0.9961175,0.00001310083,0.00001974125,0.0006142642,0.0001882582,0.00008610217,0.0004199612,0.00002410289,0.0000913185,0.002294962],"study_design_scores_gemma":[0.000001956188,0.000038821,0.9989948,0.00000370158,0.000005820966,0.0006191796,0.0001747391,0.00004026019,0.00004907944,0.00001946986,0.0000510715,0.000001220572],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995182,0.00009221383,0.00001589955,0.00002743355,0.000001358362,0.000001684786,0.0001191856,0.000001484021,0.0002225419],"genre_scores_gemma":[0.9996991,0.00005226439,0.00003035054,0.000005926328,0.000002240931,0.000002472795,0.0001429255,6.35894e-7,0.00006411535],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009325598,"threshold_uncertainty_score":0.01854265,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0155225685749894,"score_gpt":0.3039997862751512,"score_spread":0.2884772177001618,"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."}}