{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001025011,0.0002121284,0.0003010266,0.000151707,0.0003305402,0.0002165206,0.00009402288,0.00004626134,0.000027408],"category_scores_gemma":[0.001167116,0.000132535,0.0002007914,0.0002335921,0.0001959656,0.0001730225,0.00008123113,0.0002598998,0.0001483594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007261951,"about_ca_system_score_gemma":0.0002531833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004011742,"about_ca_topic_score_gemma":0.00001300926,"domain_scores_codex":[0.9982028,0.00006776869,0.0002979854,0.0004639471,0.0003265696,0.0006409318],"domain_scores_gemma":[0.9942952,0.004750423,0.00003624639,0.0004794417,0.00008498429,0.0003537064],"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":[0.000134889,0.0001434983,0.2237562,0.0006570311,0.0004174569,0.0009721798,0.0002397515,3.40125e-7,0.001119528,0.0128025,0.6582547,0.1015019],"study_design_scores_gemma":[0.001132834,0.0002219088,0.09256951,0.0006291531,0.0002616709,0.0004340892,0.0004659266,0.004100483,0.001997956,0.003933887,0.8941255,0.0001271203],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8207199,0.1278207,0.003809189,0.03012433,0.001863674,0.003406405,0.0004782493,0.0007744638,0.0110031],"genre_scores_gemma":[0.9842549,0.005156095,0.001111929,0.00067438,0.0007709231,0.0004514964,0.000311522,0.00008516908,0.007183563],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2358707,"threshold_uncertainty_score":0.540462,"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."}}