{"id":"W3031449699","doi":"10.1111/epi.16540","title":"Functional connectome contractions in temporal lobe epilepsy: Microstructural underpinnings and predictors of surgical outcome","year":2020,"lang":"en","type":"article","venue":"Epilepsia","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":115,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Children's Hospital; University of British Columbia; McGill University; Montreal Neurological Institute and Hospital","funders":"Institute of Neurosciences, Mental Health and Addiction; Hospital for Sick Children; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Temporal lobe; Hippocampal sclerosis; Epilepsy; Magnetic resonance imaging; Anterior temporal lobectomy; Connectome; Functional magnetic resonance imaging; Epilepsy surgery; Neuroscience; Functional connectivity; White matter; Functional imaging; Psychology; Medicine; Radiology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001933054,0.0002198076,0.0004328919,0.0001297498,0.0001556815,0.00003221818,0.0001302682,0.0001040955,0.0002110424],"category_scores_gemma":[0.003508204,0.0002072133,0.0001011843,0.0004802226,0.0004546006,0.0002969976,0.0001373496,0.0003922939,0.00003058147],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006450285,"about_ca_system_score_gemma":0.00006012297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006619829,"about_ca_topic_score_gemma":0.00002337341,"domain_scores_codex":[0.9980963,0.0001564199,0.0005058364,0.000597665,0.0003415633,0.0003021604],"domain_scores_gemma":[0.9959348,0.003537735,0.0001756435,0.0001401566,0.00005417464,0.0001575113],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003622202,0.00005980717,0.9523676,0.00004177323,0.00002299275,0.00006490535,0.0003642314,0.0001258892,0.0338331,0.006817544,0.005840168,0.00009976683],"study_design_scores_gemma":[0.002348846,0.0002691092,0.9726126,0.00002057538,0.0000188586,0.0001446758,0.0002404289,0.0007154446,0.007315408,0.0007450022,0.01528264,0.000286411],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9760259,0.0001045787,0.0001155449,0.02192415,0.0006458829,0.0002723101,0.0001051867,0.00009892771,0.0007075036],"genre_scores_gemma":[0.9970948,0.00002437841,0.00007869339,0.002394398,0.0002146465,0.00001946823,0.000009573389,0.00002032068,0.0001437215],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02651769,"threshold_uncertainty_score":0.8449914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05158651266302756,"score_gpt":0.2757718129759233,"score_spread":0.2241853003128957,"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."}}