{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00002519062,0.00007116399,0.0001598029,0.00004142805,0.00002816533,0.000002332565,0.00001744214,0.00006240241,0.000488696],"category_scores_gemma":[0.00004960612,0.00005541376,0.00001842824,0.00005606625,0.00003927344,0.00003967524,0.00002061498,0.00007381615,0.00006026723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002467419,"about_ca_system_score_gemma":0.000006487556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005313738,"about_ca_topic_score_gemma":0.000004926153,"domain_scores_codex":[0.9994227,0.00003460311,0.0001282186,0.0002115178,0.00005896946,0.0001440229],"domain_scores_gemma":[0.9997425,0.00008081605,0.00002574563,0.00008792389,0.00001148097,0.00005150679],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005910656,0.0001071883,0.9971299,0.000007975526,0.000009211049,0.00002405523,0.0001469738,0.0003285652,0.0004074275,0.00009671213,0.00002969663,0.00112128],"study_design_scores_gemma":[0.003588957,0.0003772889,0.9948265,0.0000051183,0.000004062063,0.00001807252,0.00001869064,0.0006010092,0.00003461381,0.0002465567,0.0002321263,0.00004698787],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981791,0.00008698869,0.00003288453,0.0006087775,0.0001058548,0.0002301846,0.000001200092,0.00001406056,0.0007409093],"genre_scores_gemma":[0.99866,0.00002188415,0.00003402893,0.0009507486,0.00001772465,0.000008292438,0.00003064722,0.000004531757,0.0002721166],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002997891,"threshold_uncertainty_score":0.5350878,"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."}}