{"id":"W3215570818","doi":"10.1093/brain/awab425","title":"Decomposing MRI phenotypic heterogeneity in epilepsy: a step towards personalized classification","year":2021,"lang":"en","type":"article","venue":"Brain","topic":"Epilepsy research and treatment","field":"Medicine","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Temporal lobe; Epilepsy; Fluid-attenuated inversion recovery; Atrophy; Neuroscience; Psychology; Hippocampal sclerosis; Magnetic resonance imaging; Cortical dysplasia; Medicine; 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":[0.002942943,0.0007434651,0.001223314,0.002202038,0.000322183,0.001499197,0.0005847067,0.0006960894,0.0006012033],"category_scores_gemma":[0.006160703,0.0003083686,0.0006108514,0.0008731834,0.0005999131,0.001250381,0.0009152889,0.001436223,0.000270248],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000380611,"about_ca_system_score_gemma":0.0005573218,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001262943,"about_ca_topic_score_gemma":0.002090148,"domain_scores_codex":[0.9990973,0.0004387324,0.00007256542,0.0002240153,0.00009839359,0.00006906026],"domain_scores_gemma":[0.9972593,0.001405093,0.0006106992,0.0004702054,0.0001451208,0.0001095333],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007270476,0.0002335771,0.496052,0.000263569,0.0006444219,0.0005413463,0.0005863327,0.02532798,0.02931665,0.002044282,0.004270591,0.4399922],"study_design_scores_gemma":[0.00009529913,0.000528262,0.589029,0.0002370131,0.0005090122,0.002002164,0.001014861,0.3200469,0.009295048,0.06957342,0.007437677,0.0002313975],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7539256,0.004218352,0.2317294,0.005670006,0.00006843045,0.0001396502,0.001657755,0.001205496,0.001385311],"genre_scores_gemma":[0.958595,0.0007337807,0.03879985,0.0003518637,0.0001645198,0.00004569561,0.0009874207,0.00007953998,0.0002424152],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002942943,"threshold_uncertainty_score":0.01556396,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05190474142130818,"score_gpt":0.3530836693947715,"score_spread":0.3011789279734633,"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."}}