{"id":"W3082149586","doi":"10.14802/jmd.20052","title":"Update on Current Technologies for Deep Brain Stimulation in Parkinson’s Disease","year":2020,"lang":"en","type":"article","venue":"Journal of Movement Disorders","topic":"Neurological disorders and treatments","field":"Medicine","cited_by":106,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Brain Institute; Toronto Western Hospital; University of Toronto; University Health Network","funders":"","keywords":"Deep brain stimulation; Medicine; Flexibility (engineering); Parkinson's disease; Therapeutic window; Neuroscience; Movement disorders; Stimulation; Neuromodulation; Lead (geology); Dystonia; Disease; Physical medicine and rehabilitation; Psychiatry; Psychology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008346749,0.0001269273,0.0002350642,0.0001178909,0.00002941814,0.00001090868,0.00008340667,0.00003519918,0.00002505529],"category_scores_gemma":[0.0003516197,0.00009110343,0.0001501908,0.0001385146,0.00002609994,0.00006436599,0.00002226095,0.0001718771,0.000004135001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004369106,"about_ca_system_score_gemma":0.00003042641,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":9.30138e-7,"about_ca_topic_score_gemma":0.00000596683,"domain_scores_codex":[0.999071,0.00002164834,0.0003366852,0.0001608543,0.0002400623,0.0001697384],"domain_scores_gemma":[0.9995193,0.00007181981,0.0001763269,0.00008649057,0.00003259775,0.000113433],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.007813323,0.003517592,0.5535177,0.0002141238,0.0001261887,0.0001106462,0.0002296545,0.005457528,0.0002555001,0.0009754264,0.01449055,0.4132918],"study_design_scores_gemma":[0.03038847,0.01132185,0.6289927,0.0003124846,0.000326772,4.887962e-7,0.0008519248,0.01601017,0.0002756863,0.2327899,0.07828333,0.0004462184],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8080073,0.002366969,0.004123232,0.1842307,0.0001609318,0.000978404,0.00001468814,0.00004426832,0.00007346234],"genre_scores_gemma":[0.9867805,0.0009941706,0.0002439826,0.01189969,0.00002939545,0.0000247344,0.00001092146,0.00001177416,0.000004894684],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4128456,"threshold_uncertainty_score":0.371509,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02488920380523658,"score_gpt":0.2969483877476913,"score_spread":0.2720591839424547,"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."}}