{"id":"W2003704181","doi":"10.1016/j.neuroimage.2007.08.020","title":"Concordance between distributed EEG source localization and simultaneous EEG-fMRI studies of epileptic spikes","year":2007,"lang":"en","type":"article","venue":"NeuroImage","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":98,"is_retracted":false,"has_abstract":false,"ca_institutions":"École de Technologie Supérieure; Université de Montréal; Montreal Neurological Institute and Hospital; McGill University","funders":"Canadian Institutes of Health Research","keywords":"Electroencephalography; Concordance; EEG-fMRI; Psychology; Pattern recognition (psychology); Artificial intelligence; Neuroscience; Computer science; Medicine; Cognitive psychology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002905423,0.0003302856,0.0003343296,0.00191197,0.0003541606,0.001063149,0.0006231347,0.000653184,0.002742929],"category_scores_gemma":[0.02015163,0.0003111912,0.0002884794,0.0008367817,0.0008682411,0.0008868719,0.0007946717,0.0005598929,0.0006821738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001792015,"about_ca_system_score_gemma":0.000212393,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007755898,"about_ca_topic_score_gemma":0.001124477,"domain_scores_codex":[0.9986802,0.0003942209,0.0002608965,0.0002985375,0.0002654735,0.0001007273],"domain_scores_gemma":[0.9739518,0.0154671,0.003121658,0.003280797,0.003748777,0.0004297948],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002457758,0.0001775136,0.7720902,0.0003857808,0.0005908018,0.004639959,0.002574521,0.0009665084,0.189251,0.001215702,0.0004881265,0.02516209],"study_design_scores_gemma":[0.00004978215,0.0003113159,0.964468,0.00004033723,0.0001807225,0.01277932,0.0008365082,0.001441356,0.0176868,0.001500222,0.000686445,0.00001926208],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9886509,0.0007904471,0.004241913,0.0001484203,0.00003266698,0.00003328815,0.000411784,0.00005807811,0.005632606],"genre_scores_gemma":[0.9990915,0.00008682159,0.0004080944,0.00002583447,0.00002159566,0.000008379317,0.0001553682,0.00001554378,0.0001868392],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002905423,"threshold_uncertainty_score":0.01536554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04327342129190413,"score_gpt":0.3038635234237179,"score_spread":0.2605901021318137,"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."}}