{"id":"W4405031972","doi":"10.1111/epi.18192","title":"The Imaging Database for Epilepsy And Surgery (<scp>IDEAS</scp>)","year":2024,"lang":"en","type":"article","venue":"Epilepsia","topic":"Epilepsy research and treatment","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Medical Research Council; University College London; Epilepsy Research UK; University College London Hospitals NHS Foundation Trust; Engineering and Physical Sciences Research Council; National Institute for Health and Care Research; UK Research and Innovation","keywords":"Epilepsy; Magnetic resonance imaging; Fluid-attenuated inversion recovery; Epilepsy surgery; Medicine; Intraoperative MRI; Neuroimaging; Radiology; Surgery; Psychiatry; Interventional magnetic resonance imaging","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":[0.0008684712,0.001184148,0.001080691,0.004151699,0.0003393781,0.001681101,0.001545546,0.001158435,0.0655319],"category_scores_gemma":[0.007709213,0.0002896965,0.0005283364,0.005360606,0.0002823618,0.0009023362,0.002220961,0.0007623313,0.04428376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005175893,"about_ca_system_score_gemma":0.001743311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005814593,"about_ca_topic_score_gemma":0.006233645,"domain_scores_codex":[0.9992512,0.00009102597,0.0001926753,0.000194922,0.0001867343,0.0000834763],"domain_scores_gemma":[0.9966512,0.0006875318,0.000726043,0.0008332022,0.000646063,0.0004558819],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001658494,0.0001110193,0.01572756,0.003210137,0.000217099,0.0008868828,0.0001327527,0.000768512,0.002724613,0.001985429,0.9300111,0.04256646],"study_design_scores_gemma":[0.001273322,0.000177271,0.06100521,0.0007280058,0.0001797063,0.001906429,0.0001936731,0.002100389,0.002830979,0.003339484,0.9261424,0.0001230459],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003123913,0.0003876288,0.0006038833,0.0001298732,0.00003403989,0.00009083314,0.9920929,0.001330897,0.002206034],"genre_scores_gemma":[0.004925804,0.0001862503,0.0009301172,0.000084834,0.00002765778,0.0001858874,0.9928616,0.0002028176,0.000595006],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0655319,"threshold_uncertainty_score":0.2192261,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02524681365537186,"score_gpt":0.3159609710820875,"score_spread":0.2907141574267156,"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."}}