{"id":"W4399921391","doi":"10.1002/ima.23120","title":"A Hybrid Deep Spatiotemporal Attention‐Based Model for Parkinson's Disease Diagnosis Using Resting State <scp>EEG</scp> Signals","year":2024,"lang":"en","type":"article","venue":"International Journal of Imaging Systems and Technology","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"","keywords":"Parkinson's disease; Resting state fMRI; Electroencephalography; Neuroscience; Functional connectivity; Computer science; Disease; Artificial intelligence; Pattern recognition (psychology); Medicine; Psychology; Internal medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004668903,0.000677819,0.0005764117,0.0004418076,0.0002093736,0.0004599997,0.001003895,0.0006681895,0.0008921177],"category_scores_gemma":[0.0007322884,0.0002637056,0.0007819157,0.0003463049,0.000213441,0.0004592396,0.0005021445,0.0008651782,0.0002706443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000641281,"about_ca_system_score_gemma":0.0008589767,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02016326,"about_ca_topic_score_gemma":0.01800995,"domain_scores_codex":[0.999864,0.00002358714,0.00001009556,0.00005037729,0.00002509625,0.00002671232],"domain_scores_gemma":[0.9997982,0.00007720154,0.00002433962,0.00001331342,0.00007385595,0.0000130272],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003035311,0.0001971825,0.005075417,0.00007204808,0.0001786738,0.0001857699,0.00005910421,0.8138737,0.01000537,0.001371743,0.002866637,0.1658107],"study_design_scores_gemma":[0.000002408659,0.00001491748,0.0002928402,0.00000226833,0.000008955221,0.00000893123,0.00000167677,0.9990554,0.0003649629,0.0001679406,0.00007744612,0.000002244886],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.229519,0.002742825,0.7600048,0.001033475,0.0001713141,0.00007892148,0.000757863,0.002453118,0.003238664],"genre_scores_gemma":[0.9676746,0.0004225858,0.02747487,0.0002364195,0.00005313565,0.00006789519,0.0006198767,0.00003686339,0.003413695],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02016326,"threshold_uncertainty_score":0.04009181,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03012161201825369,"score_gpt":0.3010650657987875,"score_spread":0.2709434537805338,"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."}}