{"id":"W4385263813","doi":"10.1002/hbm.26432","title":"Quantitative susceptibility mapping identifies hippocampal and other subcortical grey matter tissue composition changes in temporal lobe epilepsy","year":2023,"lang":"en","type":"article","venue":"Human Brain Mapping","topic":"Epilepsy research and treatment","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"H2020 European Research Council; University College London; Medical Research Council; Engineering and Physical Sciences Research Council; National Institute for Health and Care Research; National Imaging Facility; Brain Research UK","keywords":"Hippocampus; Epilepsy; Hippocampal sclerosis; Temporal lobe; Quantitative susceptibility mapping; Putamen; Psychology; Thalamus; Globus pallidus; Neuroscience; Internal medicine; Medicine; Magnetic resonance imaging; Basal ganglia; Radiology; Central nervous system","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":[0.0002536884,0.0001821308,0.00008454965,0.0005416165,0.00006744075,0.0001566981,0.00007570453,0.0001261576,0.0009315259],"category_scores_gemma":[0.0007993662,0.00009831291,0.00009013398,0.0001501677,0.0001974426,0.0001420759,0.0001341138,0.00006632722,0.00009033154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007929448,"about_ca_system_score_gemma":0.00006400859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007554168,"about_ca_topic_score_gemma":0.001098665,"domain_scores_codex":[0.9999493,0.00001875172,0.000006413949,0.000009416744,0.000009330543,0.000006790309],"domain_scores_gemma":[0.9997464,0.00009174483,0.00009204158,0.00002275665,0.00002398311,0.0000231469],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001816629,0.00008238954,0.63433,0.0001773439,0.0001994642,0.002161245,0.000751275,0.001218494,0.3256841,0.0002013316,0.0002055897,0.03317209],"study_design_scores_gemma":[0.00003781691,0.0004521701,0.9797416,0.000008993051,0.00005348405,0.004573037,0.0002278992,0.002540948,0.01195126,0.0001891011,0.0002144035,0.000009321669],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999286,0.00007835021,0.0004699274,0.000009014868,7.344733e-7,0.000002945875,0.00002603672,0.000005896183,0.0001211538],"genre_scores_gemma":[0.9997123,0.00002012137,0.0001984842,0.00000263384,0.000001122521,0.000001734606,0.00002100186,0.00000108959,0.00004146915],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009315259,"threshold_uncertainty_score":0.00311631,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07854245397749648,"score_gpt":0.3617682700882634,"score_spread":0.2832258161107669,"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."}}