{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004488835,0.000332103,0.0001510297,0.0005176389,0.0001347244,0.0002287053,0.0001306364,0.0002230984,0.0006430752],"category_scores_gemma":[0.002037938,0.00007693563,0.000176211,0.0002674634,0.000352355,0.0002950882,0.0002844903,0.000194407,0.00008266174],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001651127,"about_ca_system_score_gemma":0.0001169983,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001115475,"about_ca_topic_score_gemma":0.002465716,"domain_scores_codex":[0.9999021,0.00002861438,0.00001450196,0.00002635053,0.00001574939,0.00001264424],"domain_scores_gemma":[0.9993778,0.0001955757,0.000294788,0.00004686737,0.00004073224,0.00004417338],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006911675,0.00008141719,0.9634476,0.00004241192,0.000208251,0.0003869351,0.000155991,0.005190232,0.01458426,0.000129666,0.00009218309,0.01498997],"study_design_scores_gemma":[0.00001021502,0.000229857,0.9822136,0.000005789135,0.00003191679,0.0006301798,0.00007625748,0.01500022,0.001430972,0.0002929483,0.00007121983,0.000006866073],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992768,0.00004153811,0.0005320091,0.00001360856,7.00742e-7,0.000003909901,0.00005305807,0.00000430138,0.00007403803],"genre_scores_gemma":[0.9997383,0.00001501232,0.000150557,0.000001819168,0.000001285464,0.000003116024,0.00006908157,7.931744e-7,0.00001999255],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001115475,"threshold_uncertainty_score":0.002373934,"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."}}