{"id":"W2763898130","doi":"10.1002/hbm.23837","title":"Clinical yield of magnetoencephalography distributed source imaging in epilepsy: A comparison with equivalent current dipole method","year":2017,"lang":"en","type":"article","venue":"Human Brain Mapping","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":66,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University; École de Technologie Supérieure; Hôpital du Sacré-Cœur de Montréal; McGill University; Montreal Neurological Institute and Hospital","funders":"Natural Sciences and Engineering Research Council of Canada; Academic Center for Education, Culture and Research; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Epilepsy Society; Fonds de Recherche du Québec - Santé; American Epilepsy Society","keywords":"Magnetoencephalography; Epilepsy; Yield (engineering); Nuclear magnetic resonance; Current (fluid); Magnetic resonance imaging; Neuroscience; Physics; Psychology; Medicine; Electroencephalography; Radiology","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":[0.002519725,0.0003273177,0.0003829724,0.001196257,0.0001556227,0.0005902329,0.0002784578,0.0003923291,0.0007979551],"category_scores_gemma":[0.02058585,0.0001787327,0.0002235323,0.0006790244,0.000515002,0.0005101738,0.0008491947,0.0001867546,0.000264164],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002022916,"about_ca_system_score_gemma":0.0001729504,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000277717,"about_ca_topic_score_gemma":0.0003662242,"domain_scores_codex":[0.9983189,0.0006513246,0.0002717184,0.0003381674,0.0003743208,0.00004566776],"domain_scores_gemma":[0.9898644,0.006429895,0.00172617,0.0007265934,0.001008007,0.0002450153],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001499816,0.00003282164,0.9471445,0.0001283192,0.0001806983,0.0006089446,0.0002970647,0.0009469185,0.007410469,0.0001181065,0.0001334985,0.04149887],"study_design_scores_gemma":[0.00005970792,0.0006019337,0.9874657,0.00002630803,0.0001242439,0.004668146,0.000209734,0.003471403,0.002774675,0.0002614851,0.0003167481,0.00001982955],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950789,0.001445537,0.002411241,0.00006696206,0.000009573946,0.00001200676,0.0001021836,0.00001716402,0.000856397],"genre_scores_gemma":[0.9991875,0.0001512169,0.0005066594,0.000006592844,0.00001399899,0.000004048198,0.00008569215,0.000004604724,0.00003960021],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002519725,"threshold_uncertainty_score":0.01332575,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1490601146706177,"score_gpt":0.4011750349731601,"score_spread":0.2521149203025423,"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."}}