{"id":"W4395701715","doi":"10.1016/j.brs.2023.12.004","title":"A phenomenological model of deep brain stimulation induced finely tuned gamma oscillations in the subthalamic nucleus","year":2024,"lang":"en","type":"letter","venue":"Brain stimulation","topic":"Neurological disorders and treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Rehabilitation Institute; Ontario Brain Institute; University Health Network; Canada Research Chairs","funders":"Natural Sciences and Engineering Research Council of Canada; Alexander von Humboldt-Stiftung","keywords":"Subthalamic nucleus; Deep brain stimulation; Neuroscience; Phenomenological model; Stimulation; Physics; Nucleus; Psychology; Medicine; Parkinson's disease; Condensed matter physics; Pathology; Disease","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":[0.0002985547,0.0004589893,0.0003548713,0.0003438863,0.0006186506,0.0009914676,0.001192603,0.003537379,0.004840724],"category_scores_gemma":[0.00146523,0.0002239933,0.0006852196,0.0001962594,0.001103909,0.00166113,0.0005951001,0.002215053,0.0006688894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007660979,"about_ca_system_score_gemma":0.0003796488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006842026,"about_ca_topic_score_gemma":0.0007029042,"domain_scores_codex":[0.9999167,0.0000203295,0.000007908734,0.00001873488,0.00001814129,0.00001830176],"domain_scores_gemma":[0.9997002,0.0001850798,0.00002827911,0.00003495902,0.00002611547,0.00002549693],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007425553,0.0001568881,0.002305841,0.0003760343,0.0001171069,0.02452165,0.000833862,0.03559037,0.05094138,0.835614,0.02020214,0.02859828],"study_design_scores_gemma":[0.0001825354,0.0001471614,0.00164339,0.00004581943,0.00003688126,0.01210492,0.0002417536,0.1455557,0.002655027,0.828087,0.009246914,0.00005302065],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2179298,0.007921476,0.4111395,0.1862322,0.007890438,0.0002734195,0.000953333,0.001031665,0.1666283],"genre_scores_gemma":[0.9688162,0.001652896,0.01193765,0.006260888,0.001762864,0.0001015212,0.00006492734,0.00005432865,0.009348676],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004840724,"threshold_uncertainty_score":0.01619387,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07036749728047327,"score_gpt":0.307907390901298,"score_spread":0.2375398936208247,"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."}}