{"id":"W4387440239","doi":"10.1093/brain/awad284","title":"Identification of different MRI atrophy progression trajectories in epilepsy by subtype and stage inference","year":2023,"lang":"en","type":"article","venue":"Brain","topic":"Epilepsy research and treatment","field":"Medicine","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"National Imaging Facility; Engineering and Physical Sciences Research Council; National Institute for Health and Care Research; NIHR Biomedical Research Centre, Royal Marsden NHS Foundation Trust/Institute of Cancer Research; National Natural Science Foundation of China; Brain Research UK; Newton Fund; Academy of Medical Sciences; Wellcome Trust; Medical Research Council; Wellcome","keywords":"Atrophy; Epilepsy; Neuroscience; Cohort; Pathology; Medicine; Psychology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.00205851,0.0003508063,0.0004933212,0.001044268,0.0002152669,0.0006124717,0.0004184289,0.0003635866,0.0008611451],"category_scores_gemma":[0.005031934,0.0001595902,0.0009035862,0.0005814753,0.0001949743,0.0002934517,0.0004043677,0.0004431492,0.0002482909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002702338,"about_ca_system_score_gemma":0.0004946919,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009829801,"about_ca_topic_score_gemma":0.01946752,"domain_scores_codex":[0.9995894,0.0001583508,0.00003880979,0.0001429022,0.00002919955,0.00004133128],"domain_scores_gemma":[0.9986278,0.0005494514,0.0003170749,0.000315365,0.0001279546,0.00006243306],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007580249,0.00007420321,0.948595,0.00005296701,0.0005284902,0.000158223,0.0001371082,0.01049991,0.003414577,0.0003993695,0.001368926,0.03401311],"study_design_scores_gemma":[0.0001025725,0.0003052295,0.7998326,0.00004897332,0.0004921526,0.0008811824,0.0001860794,0.188192,0.004118284,0.003690682,0.002109397,0.00004083368],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9772684,0.000325516,0.0180716,0.0001363955,0.00001169166,0.00004481357,0.003605614,0.0001625349,0.0003735186],"genre_scores_gemma":[0.9835858,0.0001078984,0.009972243,0.00003838297,0.0000104876,0.00003402492,0.00581424,0.00002451686,0.0004123733],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009829801,"threshold_uncertainty_score":0.01954514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0204862339187566,"score_gpt":0.3398841221711922,"score_spread":0.3193978882524356,"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."}}