{"id":"W3206849725","doi":"10.1111/epi.17098","title":"Decoupling of functional and structural language networks in temporal lobe epilepsy","year":2021,"lang":"en","type":"article","venue":"Epilepsia","topic":"Epilepsy research and treatment","field":"Medicine","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Medical Research Council; Epilepsy Research UK; Wolfson Foundation; National Institute for Health and Care Research; European Academy of Neurology; Brain Research UK","keywords":"Temporal lobe; Diffusion MRI; White matter; Functional magnetic resonance imaging; Neuroscience; Occipital lobe; Superior temporal gyrus; Psychology; Fusiform gyrus; Precentral gyrus; Functional imaging; Epilepsy; Magnetic resonance imaging; Medicine; Radiology","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":[0.0001602813,0.0001221214,0.0003026107,0.00009132451,0.00003874586,0.00001292317,0.0000334753,0.00008032368,0.0006103655],"category_scores_gemma":[0.0001054203,0.0001033757,0.00006968509,0.0002383456,0.0000774047,0.00006149111,0.00005862312,0.0002363379,0.000008151692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005506668,"about_ca_system_score_gemma":0.0001336997,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001178214,"about_ca_topic_score_gemma":0.0001662388,"domain_scores_codex":[0.9989334,0.00004179704,0.000263282,0.000255454,0.0002303605,0.0002756865],"domain_scores_gemma":[0.9993886,0.0001126763,0.00005003299,0.0002101492,0.00007891883,0.0001595703],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002139769,0.00008436006,0.9920793,0.00005688193,0.0000642306,0.0006257521,0.0001535434,0.0001939159,0.001070823,0.0003833051,0.0003034477,0.004770483],"study_design_scores_gemma":[0.002137729,0.0001788233,0.9860879,0.0001106038,0.00002844812,0.0001756458,0.0003626327,0.009187983,0.001353987,0.0001748968,0.0001119071,0.00008950396],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943727,0.003527196,0.0003970543,0.0003782776,0.000107909,0.0001689923,0.00001004294,0.00001943237,0.001018349],"genre_scores_gemma":[0.9976912,0.0001524459,0.001220291,0.00010467,0.0001496356,0.00001238421,0.0001672671,0.00001496913,0.0004872071],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008994067,"threshold_uncertainty_score":0.6683074,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01651223842917866,"score_gpt":0.2946087265426321,"score_spread":0.2780964881134534,"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."}}