{"id":"W2026530333","doi":"10.1109/iembs.2009.5332614","title":"Partial directed coherence-based information flow in Parkinson's disease patients performing a visually-guided motor task","year":2009,"lang":"en","type":"article","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Canadian Institutes of Health Research","keywords":"Electroencephalography; Autoregressive model; Computer science; Coherence (philosophical gambling strategy); Parkinson's disease; Multivariate statistics; Constraint (computer-aided design); Task (project management); Artificial intelligence; Levodopa; Pattern recognition (psychology); Neuroscience; Machine learning; Psychology; Disease; Medicine; Mathematics; Statistics","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":[0.0003102947,0.0002660734,0.0002048072,0.0004956106,0.00008076306,0.0001984707,0.0001418608,0.0002174397,0.0004457214],"category_scores_gemma":[0.002011283,0.0000962553,0.0001837131,0.0002447958,0.0001824882,0.0002727599,0.0001706748,0.0001521106,0.00005477168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001009398,"about_ca_system_score_gemma":0.000157537,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001051094,"about_ca_topic_score_gemma":0.001646325,"domain_scores_codex":[0.9999045,0.00003958998,0.000007128565,0.00001883598,0.0000206915,0.000009185387],"domain_scores_gemma":[0.9995601,0.0002631915,0.00006917374,0.0000259127,0.00005571199,0.00002588292],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002922205,0.0003416823,0.0968869,0.0005902476,0.0003583519,0.001043921,0.001013723,0.04501761,0.3321651,0.002546684,0.001044748,0.5160689],"study_design_scores_gemma":[0.0001791458,0.001649669,0.34429,0.00003431847,0.0002520854,0.002317091,0.0002475317,0.6079925,0.03713677,0.004413108,0.001401126,0.0000866656],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8836818,0.0002521041,0.1150488,0.0001135161,0.00000994799,0.00006984006,0.0001980838,0.00009823719,0.0005277461],"genre_scores_gemma":[0.9668636,0.0001373536,0.03256689,0.0000185077,0.00001470375,0.0000417887,0.0001726488,0.000010455,0.0001739158],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001051094,"threshold_uncertainty_score":0.002089918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01618928520720322,"score_gpt":0.2421607022339126,"score_spread":0.2259714170267094,"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."}}