{"id":"W2030908111","doi":"10.1111/j.1528-1167.2009.02447.x","title":"Understanding the epileptogenicity of lesions: A correlation between intracranial EEG and EEG/fMRI","year":2010,"lang":"en","type":"article","venue":"Epilepsia","topic":"Epilepsy research and treatment","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Neurological Institute and Hospital","funders":"","keywords":"Electroencephalography; EEG-fMRI; Correlation; Neuroscience; Psychology; Epilepsy; Audiology; Medicine; Mathematics","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":[0.000728806,0.0006126284,0.0003130256,0.001774722,0.0001049567,0.0005280999,0.000265072,0.0006605362,0.0007817746],"category_scores_gemma":[0.001406856,0.0001859016,0.0002162096,0.0007219927,0.0005302431,0.001362364,0.0003483622,0.0005587683,0.0003690374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001420716,"about_ca_system_score_gemma":0.0001333663,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007182905,"about_ca_topic_score_gemma":0.0007667087,"domain_scores_codex":[0.9997652,0.00005036352,0.00003017096,0.00007325257,0.00005558951,0.00002542812],"domain_scores_gemma":[0.9995015,0.000148106,0.0001473003,0.00003769192,0.0001322563,0.00003324024],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001180716,0.0003867557,0.3627433,0.001348846,0.000693029,0.01169024,0.001187158,0.002154987,0.1855595,0.002538529,0.004386064,0.4261308],"study_design_scores_gemma":[0.00003018095,0.0005077987,0.919806,0.0003485243,0.000323696,0.0380729,0.001176004,0.009674401,0.01407647,0.004755739,0.01113766,0.00009066663],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8291801,0.05583327,0.09188584,0.001866884,0.000188801,0.0004190818,0.0009724184,0.0006437102,0.01900988],"genre_scores_gemma":[0.9523276,0.01850017,0.02671586,0.0003092744,0.0003887581,0.00008909132,0.0004719027,0.00005011851,0.001147262],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001774722,"threshold_uncertainty_score":0.003854334,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06570768195307405,"score_gpt":0.3169038348579669,"score_spread":0.2511961529048928,"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."}}