{"id":"W2805215396","doi":"10.1016/j.nicl.2018.05.033","title":"Cortical thickness analysis in operculo-insular epilepsy","year":2018,"lang":"en","type":"article","venue":"NeuroImage Clinical","topic":"Epilepsy research and treatment","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal; Université de Sherbrooke; Université de Montréal; Centre Hospitalier de l’Université de Montréal","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":"Insular cortex; Insula; Epilepsy; Temporal lobe; Neuroimaging; Neocortex; Medicine; Neuroscience; Lobe; Frontal lobe; Voxel; Audiology; Psychology; Anatomy; Pathology; 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":[0.0004329576,0.0003483682,0.0001986727,0.001322269,0.0001778923,0.0002488616,0.0001184619,0.0001726534,0.001078661],"category_scores_gemma":[0.0007810697,0.0001381095,0.0001821433,0.0004401835,0.0002778884,0.0001722443,0.0002334172,0.0001469738,0.0001085657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001243154,"about_ca_system_score_gemma":0.0001139106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00107809,"about_ca_topic_score_gemma":0.001546127,"domain_scores_codex":[0.99986,0.00003643544,0.00001941945,0.00003558639,0.00002909891,0.00001934808],"domain_scores_gemma":[0.9997101,0.00006206097,0.0001220767,0.00003058227,0.00003437971,0.00004082451],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006098494,0.0001749349,0.7135263,0.000224586,0.000471722,0.004387265,0.001181868,0.001045276,0.2311891,0.0001970891,0.0002093106,0.04129396],"study_design_scores_gemma":[0.000009981427,0.0002025446,0.9909333,0.000004040437,0.00003685622,0.002222245,0.0001397546,0.0003849549,0.005874563,0.00005564423,0.0001307656,0.000005317045],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993555,0.0001120373,0.0002606886,0.000003393279,0.000001527762,0.000005932681,0.0000530946,0.00000653488,0.0002011681],"genre_scores_gemma":[0.9994481,0.00006361032,0.0002685483,0.000003444748,0.000001711367,0.000005834698,0.00008427246,0.000003364841,0.0001212147],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001322269,"threshold_uncertainty_score":0.003608465,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07984377730060623,"score_gpt":0.4316803706242964,"score_spread":0.3518365933236902,"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."}}