{"id":"W1981439737","doi":"10.1007/s12031-012-9918-y","title":"Associations Between EEG Beta Power Abnormality and Diagnosis in Cognitive Impairment Post Cerebral Infarcts","year":2012,"lang":"en","type":"article","venue":"Journal of Molecular Neuroscience","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":26,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Montreal Cognitive Assessment; Electroencephalography; Concordance; Neurology; Medicine; Internal medicine; Dementia; Cognitive impairment; Cerebral infarction; Cognition; Neurochemistry; Cardiology; Disease; Psychiatry; Ischemia","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003014636,0.0003392838,0.0003338034,0.001275469,0.0003727993,0.0005975779,0.0003420243,0.0006406869,0.002672562],"category_scores_gemma":[0.004232938,0.0001875784,0.0003077762,0.001125907,0.0003370802,0.0004876734,0.0003805542,0.0008308415,0.0002753712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000192163,"about_ca_system_score_gemma":0.0002498487,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003506798,"about_ca_topic_score_gemma":0.003860707,"domain_scores_codex":[0.9998154,0.00003663059,0.00003837195,0.00002771487,0.00003384101,0.00004807975],"domain_scores_gemma":[0.9967552,0.001134541,0.001331398,0.00009618601,0.0002620631,0.0004205096],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004329158,0.00005987274,0.9972793,0.000008155246,0.00004320964,0.0004713406,0.00005373913,0.00003223986,0.000380318,0.00001326342,0.00003336373,0.001192196],"study_design_scores_gemma":[0.000004531814,0.00007230676,0.9992105,0.000002258549,0.00001751759,0.0004361664,0.00007507952,0.00008654465,0.00004440235,0.00003070688,0.00001794688,0.000002039059],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991436,0.0001959499,0.00005107044,0.00005482739,0.000009147348,0.000002128012,0.00008966827,0.000002743802,0.0004507617],"genre_scores_gemma":[0.9996473,0.00009301878,0.00003010848,0.00001004532,0.00001849877,0.000001596638,0.00009470445,0.000001068337,0.0001037766],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003506798,"threshold_uncertainty_score":0.008940578,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02991171985669039,"score_gpt":0.3022493418698362,"score_spread":0.2723376220131458,"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."}}