{"id":"W2157775323","doi":"10.1080/17486700701502363","title":"Evidence of Intermittency in the Local Field Potentials Recorded from Patients with Parkinson′s Disease: A Wavelet‐Based Approach","year":2007,"lang":"en","type":"article","venue":"Computational and Mathematical Methods in Medicine","topic":"Neurological disorders and treatments","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Intermittency; Local field potential; Wavelet; Subthalamic nucleus; Parkinson's disease; Wavelet transform; Basal ganglia; Neuroscience; Spectral density; Physics; Statistical physics; Pattern recognition (psychology); Mathematics; Deep brain stimulation; Computer science; Artificial intelligence; Psychology; Medicine; Statistics; Disease; Internal medicine; Central nervous system","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":[0.0003698293,0.0001708378,0.000184484,0.0009793213,0.0001019306,0.0002309073,0.0001231293,0.000212793,0.0004879662],"category_scores_gemma":[0.001375416,0.00009255925,0.000177786,0.0006003072,0.0002959204,0.0002899004,0.0002130301,0.0002612242,0.00005646013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006902363,"about_ca_system_score_gemma":0.000062496,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003228358,"about_ca_topic_score_gemma":0.0003655287,"domain_scores_codex":[0.9999164,0.00002353602,0.000009305283,0.00001537444,0.00002074559,0.00001457246],"domain_scores_gemma":[0.9995309,0.0002581503,0.00008873324,0.0000430065,0.00004302865,0.00003621676],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001750966,0.0002518429,0.3377287,0.0004185456,0.0004598271,0.002255419,0.001113387,0.01610194,0.4217932,0.002988917,0.0004680792,0.2146692],"study_design_scores_gemma":[0.00004360512,0.0005292548,0.8897414,0.00003444065,0.0001600233,0.003296947,0.000313322,0.07959693,0.02256813,0.003050741,0.0006203885,0.00004486568],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9848296,0.0002468326,0.01458728,0.00003904897,0.000004621112,0.000005118398,0.00008922973,0.00001628814,0.0001821455],"genre_scores_gemma":[0.9954833,0.000125832,0.004235036,0.000006615868,0.00001042277,0.00000479231,0.00008062436,0.000003855054,0.00004947107],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009793213,"threshold_uncertainty_score":0.001955867,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07275870123782655,"score_gpt":0.3932508934095055,"score_spread":0.3204921921716789,"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."}}