{"id":"W3190090362","doi":"10.3390/brainsci11081041","title":"Structural Connectivity Alterations in Operculo-Insular Epilepsy","year":2021,"lang":"en","type":"article","venue":"Brain Sciences","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Centre Hospitalier de l’Université de Montréal; Université de Montréal; Université de Sherbrooke","funders":"Fonds de Recherche du Québec - Santé; Natural Sciences and Engineering Research Council of Canada; Université de Montréal; Savoy Foundation; Canadian Institutes of Health Research; Réseau en Bio-Imagerie du Quebec","keywords":"Epilepsy; Insula; Tractography; Temporal lobe; Insular cortex; Neuroscience; Connectome; Neuroradiology; Psychology; White matter; Neurology; Medicine; Magnetic resonance imaging; Functional connectivity; 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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0007214193,0.0001470659,0.0001960119,0.0001485336,0.0007948002,0.0002063934,0.000307842,0.00004233449,0.0002000607],"category_scores_gemma":[0.02955798,0.0001310245,0.00006389236,0.001515546,0.0006459238,0.0006938123,0.0002077168,0.0001666316,0.00005405215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006920687,"about_ca_system_score_gemma":0.0002542988,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000968925,"about_ca_topic_score_gemma":0.0008584872,"domain_scores_codex":[0.997642,0.0004277254,0.0002135998,0.0008485674,0.0004966144,0.0003715032],"domain_scores_gemma":[0.9926443,0.006932049,0.00005361592,0.0002396476,0.00006613431,0.00006430383],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00003065277,0.0001955139,0.08008104,0.00002452466,0.00001057002,0.0002949718,0.002606351,0.005894054,0.7158127,0.1821643,0.006730744,0.00615462],"study_design_scores_gemma":[0.001517818,0.0003582497,0.4388014,0.00009270942,0.00001011209,0.0005256152,0.002572668,0.02668907,0.436628,0.07628749,0.01537817,0.00113872],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9549387,0.0001105379,0.0001723189,0.03486831,0.0006719261,0.0001537823,0.00001843069,0.00006646755,0.008999523],"genre_scores_gemma":[0.9902419,0.000009569068,0.0003599528,0.008748552,0.00009469291,0.00002659743,0.00000125774,0.000006692786,0.0005107428],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3587204,"threshold_uncertainty_score":0.9786165,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06970369992095335,"score_gpt":0.3172281622439149,"score_spread":0.2475244623229616,"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."}}