{"id":"W2964563554","doi":"10.1148/radiol.2019190546","title":"Functional MRI Safety and Artifacts during Deep Brain Stimulation: Experience in 102 Patients","year":2019,"lang":"en","type":"article","venue":"Radiology","topic":"Neurological disorders and treatments","field":"Medicine","cited_by":77,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Brain Institute; Toronto Western Hospital; University of Toronto; University Health Network","funders":"GE Global Research; Weston Brain Institute; Canada Research Chairs; University Health Network","keywords":"Medicine; Artifact (error); Deep brain stimulation; Magnetic resonance imaging; Neuromodulation; Neuroimaging; Nuclear medicine; Subthalamic nucleus; Radiology; Stimulation; Neuroscience; Pathology; Internal medicine","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":[0.0005653606,0.000395526,0.0003325215,0.0003106609,0.0004174272,0.0003926039,0.0002230762,0.000455197,0.001003861],"category_scores_gemma":[0.002601856,0.0002025757,0.0002491228,0.0002573178,0.0004212903,0.0003349824,0.0004576489,0.0002963784,0.0003123108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002111782,"about_ca_system_score_gemma":0.0002520125,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005474123,"about_ca_topic_score_gemma":0.0008609913,"domain_scores_codex":[0.9997383,0.00007875275,0.0000306388,0.0000529235,0.00005137815,0.00004806769],"domain_scores_gemma":[0.9992488,0.0002255506,0.0001689726,0.00007102397,0.00008348541,0.0002021107],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001711342,0.002498246,0.7709772,0.0002149997,0.0001254848,0.0350946,0.01696352,0.001012706,0.02256119,0.0001885995,0.001235474,0.1474167],"study_design_scores_gemma":[0.0003552501,0.02433423,0.8016195,0.00009768679,0.0002088627,0.1452758,0.007011356,0.002084186,0.01054638,0.0004879582,0.007832033,0.0001466948],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991791,0.0001720283,0.0002981646,0.00002666443,0.000003021399,0.00001079515,0.00001289098,0.000007056334,0.0002903931],"genre_scores_gemma":[0.9989768,0.0002295632,0.0004409878,0.00006253684,0.00001519881,0.00001543333,0.00004036196,0.000005854537,0.0002131274],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001003861,"threshold_uncertainty_score":0.003358245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01529003726766437,"score_gpt":0.2536760298338313,"score_spread":0.2383859925661669,"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."}}