{"id":"W7116680094","doi":"10.1111/epi.70042","title":"Multimodal integration of magnetic resonance imaging and intracranial electroencephalographic abnormalities in temporal lobe epilepsy surgery","year":2025,"lang":"en","type":"article","venue":"Epilepsia","topic":"Epilepsy research and treatment","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Medical Research Council; Epilepsy Research UK; National Imaging Facility; UCLH Biomedical Research Centre; UK Research and Innovation","keywords":"Ictal; Epilepsy surgery; Temporal lobe; Magnetic resonance imaging; Epilepsy; Surgical planning; Electroencephalography; Intractable epilepsy","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":[0.0008573266,0.0002522252,0.0002387677,0.001060912,0.0001383216,0.0004035269,0.0001348249,0.0001714486,0.0004164949],"category_scores_gemma":[0.002499018,0.0001187809,0.0001745831,0.0005351637,0.0002960784,0.000416705,0.0004709855,0.000173267,0.0001005797],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000223361,"about_ca_system_score_gemma":0.000279506,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009340877,"about_ca_topic_score_gemma":0.002304687,"domain_scores_codex":[0.9997708,0.0000742921,0.00003636509,0.00003508835,0.00005895137,0.00002442534],"domain_scores_gemma":[0.9992799,0.0001662731,0.0003746951,0.00003800739,0.00009272301,0.00004845159],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003678668,0.0000412267,0.9707537,0.0000504512,0.00007814139,0.0006337753,0.0001107596,0.0003963563,0.004301078,0.00002032876,0.00008960732,0.02315675],"study_design_scores_gemma":[0.00001100517,0.0003734652,0.9934161,0.00001871239,0.00006878941,0.002282342,0.0001849909,0.001834983,0.001481985,0.0001246046,0.0001947735,0.000008250419],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987154,0.0004589159,0.0004597577,0.00004436906,0.000002459876,0.000009556832,0.00004941845,0.000005871583,0.0002541718],"genre_scores_gemma":[0.9994248,0.0001546208,0.0003225151,0.000006884306,0.000006018358,0.000004314227,0.00005113249,0.000001084584,0.0000285432],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001060912,"threshold_uncertainty_score":0.004534006,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01049621078581949,"score_gpt":0.2735987599161517,"score_spread":0.2631025491303323,"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."}}