{"id":"W3092329192","doi":"10.22430/22565337.1564","title":"Beta, gamma and High-Frequency Oscillation characterization for targeting in Deep Brain Stimulation procedures","year":2020,"lang":"en","type":"article","venue":"TecnoLógicas","topic":"Neurological disorders and treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Instituto Tecnológico Metropolitano; Hospital Universitario de San Vicente Fundación; Universidad de Antioquia","keywords":"Subthalamic nucleus; Deep brain stimulation; BETA (programming language); Frequency band; Computer science; Oscillation (cell signaling); Autoregressive model; Biomedical engineering; Physics; Artificial intelligence; Neuroscience; Parkinson's disease; Mathematics; Chemistry; Medicine; Pathology; Psychology; Statistics","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":[0.00005111879,0.00009688699,0.0001609132,0.00004375605,0.00004766916,0.00001390048,0.0000216251,0.00005678992,0.00003312431],"category_scores_gemma":[0.0003337768,0.00007801239,0.00002412175,0.0001408304,0.00001762498,0.00008292188,0.00001266988,0.00005940336,0.000004974279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001478317,"about_ca_system_score_gemma":0.00001409233,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008707743,"about_ca_topic_score_gemma":0.000005712089,"domain_scores_codex":[0.9993215,0.00001790019,0.0001992831,0.0002416253,0.00008887744,0.0001308494],"domain_scores_gemma":[0.9997293,0.0000545152,0.00006908063,0.00005099035,0.00003052444,0.00006553594],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001010616,0.0003351201,0.7309839,0.0004216211,0.00004319143,0.00005866281,0.00107361,0.0001188556,0.2288933,0.00220279,0.0002124875,0.03464582],"study_design_scores_gemma":[0.003420218,0.0008023286,0.9811929,0.00002819314,0.00003886483,0.000002787445,0.00002822892,0.01027475,0.000826691,0.003041837,0.0002227675,0.0001203586],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9849537,0.0001184501,0.002477206,0.01141679,0.00001801971,0.0008387539,0.000008909175,0.00007105414,0.00009712279],"genre_scores_gemma":[0.996034,0.00003032229,0.001283918,0.002225874,0.00006457462,0.00004694344,0.0002822794,0.0000128007,0.0000192593],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2502091,"threshold_uncertainty_score":0.3181253,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02349057542308456,"score_gpt":0.2718768263231854,"score_spread":0.2483862509001008,"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."}}