{"id":"W2971551562","doi":"10.1101/756494","title":"Functional connectome contractions in temporal lobe epilepsy: microstructural underpinnings and associations to surgical outcome","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Children's Hospital; University of British Columbia; McGill University; Montreal Neurological Institute and Hospital","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Hospital for Sick Children; China Postdoctoral Science Foundation; Centre Azrieli de recherche sur l'autisme, Institut et Hôpital Neurologiques de Montréal; National Natural Science Foundation of China; Canada Research Chairs; Savoy Foundation; National Science Foundation","keywords":"Temporal lobe; Neuroscience; Epilepsy; Connectome; White matter; Functional connectivity; Epileptogenesis; Hippocampal sclerosis; Functional magnetic resonance imaging; Magnetic resonance imaging; Hippocampal formation; Psychology; Corpus callosum; 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":[0.0003428156,0.0002459189,0.0001540041,0.0008134945,0.0001176525,0.0002121892,0.0001201086,0.0001979676,0.0007875079],"category_scores_gemma":[0.001801337,0.00006823026,0.0001234223,0.0003661088,0.0004330996,0.0002395324,0.0003137953,0.0001785649,0.00006186945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001489693,"about_ca_system_score_gemma":0.0001083625,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009693723,"about_ca_topic_score_gemma":0.002000909,"domain_scores_codex":[0.99992,0.00002383299,0.000009360981,0.00002054047,0.000013435,0.00001268164],"domain_scores_gemma":[0.9994659,0.0001762578,0.0002425238,0.00004860241,0.00002566994,0.00004110218],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000902246,0.00008644356,0.9371771,0.00006508682,0.0002474092,0.0006784492,0.0003311256,0.003879909,0.03137477,0.0004292839,0.0001704848,0.02465765],"study_design_scores_gemma":[0.000005976181,0.0001312375,0.9923906,0.000004644677,0.00002629678,0.0005137638,0.00009457344,0.004681885,0.001481685,0.0005726047,0.00009070966,0.000006083993],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992335,0.00006006591,0.0005017008,0.00001840363,8.374161e-7,0.000002866292,0.00007045372,0.000004064167,0.0001081674],"genre_scores_gemma":[0.9996558,0.00003094601,0.0001693482,0.000003000925,0.000002188391,0.000004179521,0.0001005419,0.000001633359,0.00003230618],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009693723,"threshold_uncertainty_score":0.002634466,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03944364781881174,"score_gpt":0.2656377111108572,"score_spread":0.2261940632920454,"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."}}