{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002916032,0.0001202634,0.0002555932,0.00009650698,0.00005645348,0.00002982837,0.00005520846,0.00007305905,0.0003032795],"category_scores_gemma":[0.0002337414,0.0001080405,0.0001077144,0.0002881083,0.00005560214,0.00005323751,0.00003897525,0.0001713605,0.00009127488],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00024297,"about_ca_system_score_gemma":0.0003423455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007727465,"about_ca_topic_score_gemma":0.0003309655,"domain_scores_codex":[0.9986571,0.0001936675,0.000213831,0.0003343604,0.0002922468,0.0003087658],"domain_scores_gemma":[0.9992843,0.0001054572,0.00003682407,0.0003008287,0.00008852784,0.0001840838],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000970771,0.001759791,0.7566903,0.0002314249,0.0002715228,0.001392215,0.0008677131,0.000005221736,0.07542639,0.003213838,0.004513726,0.1546571],"study_design_scores_gemma":[0.005336681,0.0002103928,0.9628587,0.0001688069,0.00003676288,0.0001208568,0.00036347,0.002243781,0.0123234,0.0002625957,0.01592234,0.0001521552],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9776994,0.001255847,0.001290947,0.0141716,0.00006462682,0.0003610208,0.00001229184,0.00004746603,0.005096832],"genre_scores_gemma":[0.9912117,0.0001163652,0.006266244,0.0008875644,0.00008639662,0.00005921628,0.0001614884,0.00001913326,0.001191878],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2061685,"threshold_uncertainty_score":0.4405766,"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."}}