{"id":"W2090268938","doi":"10.1109/jbhi.2013.2284480","title":"A Three-Step Multimodal Analysis Framework for Modeling Corticomuscular Activity With Application to Parkinson’s Disease","year":2013,"lang":"en","type":"article","venue":"IEEE Journal of Biomedical and Health Informatics","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Michael Smith Health Research BC","keywords":"Electroencephalography; Canonical correlation; Computer science; Electromyography; Pattern recognition (psychology); Coherence (philosophical gambling strategy); Artificial intelligence; Correlation; Multiset; Inference; Physical medicine and rehabilitation; Psychology; Mathematics; Statistics; Medicine; Neuroscience","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000462932,0.0001219935,0.000348685,0.000248604,0.0001637651,0.00009356157,0.0001994951,0.00006043487,0.000004884197],"category_scores_gemma":[0.000113566,0.00007777008,0.00009514869,0.0003802351,0.00007184307,0.000306126,0.00002984843,0.0002365011,0.000003807526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004897974,"about_ca_system_score_gemma":0.0001463762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006129119,"about_ca_topic_score_gemma":0.00001421612,"domain_scores_codex":[0.9983888,0.00002423729,0.0007394123,0.0001086244,0.0004601643,0.0002787151],"domain_scores_gemma":[0.9982303,0.0001889834,0.0005185619,0.0001497117,0.0001241529,0.000788244],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001123977,0.001205591,0.006911083,0.002279074,0.0004762432,0.00001167341,0.007299664,0.05593987,0.001806647,0.001006049,0.002536588,0.9194036],"study_design_scores_gemma":[0.0004067676,0.0005377566,0.002958433,0.0001222708,0.00006753596,0.0000126486,0.00008878984,0.9932551,0.0001416537,0.0009270816,0.001380376,0.0001015386],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4109062,0.00001719032,0.5848303,0.003874631,0.00007222091,0.0002804617,0.000009615575,0.00000826982,0.000001102682],"genre_scores_gemma":[0.8920398,0.00004725618,0.1046693,0.003065846,0.0001444528,0.00002518651,0.000001080949,0.000005879952,0.00000109972],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9373153,"threshold_uncertainty_score":0.3171372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03777710033469666,"score_gpt":0.3270080929762433,"score_spread":0.2892309926415466,"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."}}