{"id":"W3035680799","doi":"10.3389/fneur.2020.00561","title":"Altered White Matter Structural Network in Frontal and Temporal Lobe Epilepsy: A Graph-Theoretical Study","year":2020,"lang":"en","type":"article","venue":"Frontiers in Neurology","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"White matter; Diffusion MRI; Temporal lobe; Epilepsy; Neuroscience; Psychology; Frontal lobe; Cognition; Connectome; Medicine; Magnetic resonance imaging; Radiology; Functional connectivity","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007432648,0.0001665073,0.0004034331,0.0001016637,0.00003713733,0.000009268903,0.0001202955,0.00008171499,0.00005449328],"category_scores_gemma":[0.00002236843,0.0001571336,0.00003728193,0.0002672667,0.0002873736,0.00004904424,0.000118329,0.0005638202,0.000003331528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001172631,"about_ca_system_score_gemma":0.00001290394,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009530617,"about_ca_topic_score_gemma":0.000007535872,"domain_scores_codex":[0.998662,0.0001214932,0.0003019683,0.0005011862,0.00008741076,0.0003259656],"domain_scores_gemma":[0.9995576,0.0000254548,0.0000538106,0.0002268289,0.0000109993,0.0001253047],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006389428,0.00005904381,0.983954,0.00001037596,0.000007038135,0.0001950513,0.0002401382,0.00003840076,0.00002842581,0.0003599341,0.01412507,0.0003436459],"study_design_scores_gemma":[0.001935552,0.0009168803,0.9734236,0.000007650222,0.00002304088,0.00009737317,0.00007703263,0.006591133,0.00000728003,0.01575214,0.001027101,0.0001412174],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9705955,0.00009742644,0.008244068,0.01968379,0.0002128394,0.0008857043,0.000006500782,0.00008150291,0.0001926561],"genre_scores_gemma":[0.9756661,0.0000158664,0.01393736,0.01012148,0.0001425821,0.00006641093,0.00001188116,0.00002851525,0.000009814275],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01539221,"threshold_uncertainty_score":0.6407723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02028789054384591,"score_gpt":0.2900120420111246,"score_spread":0.2697241514672787,"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."}}