{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000196341,0.0002442678,0.0001575253,0.0005696445,0.000205022,0.000267603,0.0001017512,0.0001805064,0.001085486],"category_scores_gemma":[0.001345588,0.0001304852,0.0001161761,0.0003199427,0.000321868,0.0004268906,0.0002645509,0.0001091755,0.00009534297],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001949105,"about_ca_system_score_gemma":0.0001407716,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002028278,"about_ca_topic_score_gemma":0.005124786,"domain_scores_codex":[0.9999319,0.00001430719,0.000006825236,0.00002308076,0.00001157104,0.00001232073],"domain_scores_gemma":[0.9996686,0.00007704429,0.0001864245,0.00001649304,0.0000193225,0.00003216889],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001406346,0.00008794456,0.9038042,0.000131027,0.0002383615,0.002783786,0.00159217,0.001426934,0.06035654,0.0002569836,0.000249106,0.02766655],"study_design_scores_gemma":[0.00001689003,0.0001196381,0.9940515,0.000005189165,0.00003071502,0.002574447,0.000294771,0.001385218,0.001122485,0.0002850376,0.0001090477,0.000004986071],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99954,0.00006366939,0.0002012814,0.00001706783,4.076547e-7,0.000002396667,0.00004127079,0.000003783064,0.0001302537],"genre_scores_gemma":[0.9997174,0.00002985793,0.0001329057,0.000004033204,0.0000013106,0.000002291217,0.00005787498,9.411297e-7,0.00005329303],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002028278,"threshold_uncertainty_score":0.004032969,"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."}}